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welcometothejianghu · 1 month ago

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Welcome to another round of W2 Tells You What You Should See, where W2 (me) tries to sell you (you) on something you should be watching. Today's choice: 某某 / Mou Mou / The On1y One

The On1y One is a 2024 Taiwanese coming-of-age drama about two high school students who fall in love, but more importantly, become friends -- and oh, they're also living in the same house now, because their parents have decided to get married.

Let's get this part out of the way: Yes, they're (almost) stepbrothers. No, that is not a kink thing at all, especially since they meet and start having complicated emotions about one another before they know their parents are together. Look, I had a childhood acquaintance promoted to stepsibling when I was in high school too, and I can tell you that your feelings about someone do not immediately jump to close family status just because your mom likes their dad. This is a show about how becoming a family; it is not a show about fucking your family.

Here are five reasons I think you should absolutely watch this twelve-episode drama -- and they're going to be as spoiler-free as I can make them, largely because...

1. Holy shit, it's ... actually good?

Believe me, no one could be as shocked as I was to find out this was a thing of actual quality. I first found out about this as 'hey, the handsome doctor from House Haunters is in a Taiwanese BL about high-schoolers' -- which of course sold me on it immediately, as I thought Liu Dongqin was the absolute highlight of the beautiful disaster that is Psych-Hunter, but which also, you must admit, sounds more like a novelty than a real thing of objective value.

Thus, I was prepared for trash! More accurately, I was prepared to enjoy trash. I am clearly on record as a trash-enjoyer. I was going to tuck in and gleefully laugh my way through awkward antics just to see that handsome boy kiss another boy.

Which means I was not prepared to be knocked off my feet by how thoughtful, intense, well-acted, and damn beautiful this series is. It's good. It's actually good. It is, like Beyond Evil, a thing you could put in front of Your Average American Television Enjoyer Who Can Handle Subtitles (And Boys Kissing) without having to apologize every five seconds about the jank. It's stunningly lit. It's chunked into episodes that have reasons to be episodes. It's well-written in a way that even comes through the translation.

Here's a clue to its quality: It's directed by Liu Kuang-Hui, known for Your Name Engraved Herein, an explictly gay film released in 2020 that won, like, all the awards -- which it fucking deserved to. (You don't need to have seen Your Name to watch this, but I think if you have, it adds an extra layer of meaning.) This is a BL made by someone who understands how being a teen boy in love with another teen boy is like being expected to walk around with a knife in your stomach while you pretend everything's fine.

But this is not a show about misery! It is a show about building connections, learning to trust, getting over yourself, and finding joy in taking care of other people. Maybe that sounds a little grandiose for a tiny Taiwanese BL, but it's not an exaggeration. When this drama bills itself as a coming-of-age narrative, it means it's going headfirst into the beautiful hell of being seventeen.

Keep those tissues on hand. You'll need them.

2. What if you fell in love with someone you also liked?

This is a true cat4cat relationship -- but different cat personalities! Finally, diverse cat representation!

Jiang Tian is a feral kitty who has spent so long telling everyone he hates them that he has no idea how to convey that he likes someone, and thus spends the first several episodes basically dropping dead birds at Sheng Wang's feet. Don't let his stoic nature fool you -- he's exactly as into this as (and much sooner than) the much more demonstrative Sheng Wang. Episodes end with little scenes you saw earlier, but recontextualized from Jiang Tian's perspective. So don't ever worry that Jiang Tian's being taken advantage of or coerced in any way. The boy has agency, and he uses it.

Meanwhile Sheng Wang is like a pampered little housecat who only eats wet food and sulks about everything -- but he's earned at least some of it, as he's clearly dealing with some major life upheavals. New city! New school! New friends! New house! New stepmom! New stepbrother! New and horrible things his teenage body is doing to him! So it's not surprising that he's clinging to what familiar comforts he has, even if it means being a total bitch about it.

And they become friends. That's the great part. This is a love story, but it's a love story where the love is friend-shaped. If anything, the friendship is the more important (and visible) aspect of the dynamic. It's not saying that one is more righteous or correct than the other -- it's saying that friendship is part of romantic love! Maybe it's even the best part of it! Maybe the only thing better than falling in love is making your crush your best friend and then falling in love with them.

It gets to the point where they spend most of their time not thinking about being in love with one another because they're such good friends. This is just what having a best friend is like, right?

(Jiang Tian knows it is not just what having a best friend is like. Jiang Tian is constantly chewing glass because he's sure friendship is the best he's going to get out of this, and also it's the best friendship he's ever had, and if that's all he gets -- and it will be, he's sure of it -- it'll be enough. It'll have to be.)

My favorite parts of their relationship are when Sheng Wang and Jiang Tian get to just enjoy spending time with one another as complete goobers. They're such teen boys! I mean, they're teen boys from very particular circumstances that have made them have to grow up fast, so it's great when they just get to regress around one another and act their age. The whole scene at the carnival is by itself worth the price of admission.

Look, here's some more shots of them being cute at one another. Don't let Jiang Tian's stoic face in the other pictures fool you. He's capable of making expressions, and it's so good when he does.

See?

3. This, too, is yuri

I mean, shit, you make a gay teacher and I'm already there. You make two gay teachers and I'm going to love you forever. Then you make them both gay teachers and gay owners of a little gay cafe? I don't know if my little trope-loving heart can take it!

Enter Zhao Xi and Lin Tingbei ("Benny").

From the moment you meet these two, it is obvious to you, the viewer, that they are a married couple. Except they're not. They're not married. They're not even a couple. It took me like nine episodes to realize that the reason they're acting so weird is not that they're trying to hide their relationship from other people, but that they're not in a relationship. They are mutually pining for one another and have no idea that the other one is having similar feelings.

Sorry, I have to go feral about these two sapphic-coded gay men for a moment: You two had an incredible meet-cute, went abroad at the same time, came back together, opened a cafe together, call one another "partner," have rainbow motifs on various visible objects in your life, AND YOU STILL ARE UNAWARE THAT YOU'RE BOTH IN LOVE WITH ONE ANOTHER

I can't stress this enough: When you meet them, your first thought is, oh, you two are married. MARRIED. Not just dating, but comfortably wedded. I kept expecting one of them to have a gentle After-School Special moment he tells the children, no, we're life partners as well as business partners. But they didn't! And do you know why? It's because THEY DON'T EVEN SEEM TO KNOW THAT THE OTHER ONE IS ALSO GAY

The only thing that makes sense is that they're both male lesbians. This is some Ayaka is in Love with Hiroko! shit right here. How do you unknowingly wind up in what is basically a marriage with man you've never even kissed? I don't know, but they've somehow managed to do it. It's insane. It's incredible.

I don't even feel like I'm spoiling you for anything here! Like, I wish I'd known from the start they weren't actually together, because I was baffled by their side plot for fully three-quarters of the series. Why are they behaving like this? Why are you being weirdly jealous about the hot lady teacher? Oh, it's because YOU DON'T KNOW YOU'RE HUSBANDS, THAT'S WHAT MAKES YOU HUSBANDS

WE GOT DOUBLE MUTUAL PINING HERE, FOLKS, DOUBLE MUTUAL PINING, TWO SUCCESSIVE GENERATIONS OF GAY DIPSHITS WHO ARE AS BAD AS YOU CAN BE ABOUT FEELINGS WITHOUT IMMEDIATELY DYING OF IT

Sorry about the caps lock, just ... I'll be over here screaming into a pillow about it, okay? Okay, thanks.

4. Actual Teen Feelings

So nobody in this production is an actual teenager; both leads were just on the underside of thirty when it filmed, and all the other "kids" are at least in their mid-twenties.

And honestly, I like the aged-up casting better, since ... look, I'm over forty, and I just don't find the youths as attractive as I did when I was much closer to that age. Seeing actual 16- and 17-year-olds do this would have given me the ick. So I feel kind of like, this is a teen story told for adults, and the way it does that is by giving you actors that embody how cool you thought your peers looked when you were that age, and not how gangly and awkward everyone actually looked.

I've described the behavior of the teen characters as "rationally irrational" -- like, you know that the decisions they're making are bad, and they kind of know it too, but you also get that they don't have the regulatory mechaisms to compensate for when their hormones tell them it's time to sulk, or or talk back, or lie, or do something reckless. They're stupid teens, but they're not stupid because the writing is stupid. They're stupid because the writing is good and knows exactly how stupid teens are.

And of course this is most visible with our boys, who are complete dipshits in some very rationally irrational ways.

I alluded earlier to the fact that I have stepsiblings, and that I acquired them during my teen years, so yeah, a lot of the complicated stepfamily dynamics hit hard for me. Sheng Wang's mother is dead, and he's being a sulky baby about it because he (kind of correctly!) feels like his dad both is trying to replace her and has started paying attention more to his new partner than to his son. Sure, an adult with more coping mechanisms would be able to handle it without being a dick to everyone around them. But he's not an adult -- but also he's not not an adult? He's in that awful place of adolescence where you feel all grown up, but people still keep making huge life decisions for you. I remember it; it sucks.

Meanwhile Jiang Tian's father is still alive, but that's complicated too and has led to Jiang Tian's being kind of estranged from both his divorced parents. His then becomes a story less about how to get along with your new stepfather, and more how to reconcile with a mother who wasn't always in a place to make the best decisions for you she could, as you are yourself approaching the age she was when she made those decisions.

It's just so many feelings! Just a giant fucked-up Sargasso Sea of feelings! Every nerve is raw and every emotion is like staring straight at the sun! So many characters are completely at the mercy of their worst instincts, to the point where you can't even be mad because, yeah, if I had no ability to tell my most visceral intrusive thoughts to go away, I'd be ruining my own life left and right too.

Also, you are not prepared for the parts with boners. I say no more.

bonus: LUCKY CAT!!!

When was the last time you saw a fat character in a piece of Asian media -- or a piece of any media -- who was just allowed to be fat in peace? Whose fatness was not the constant butt of jokes? Who was not depicted always (comedically) eating? Who wasn't thrown into the mix just so their sexual/romantic interest in some skinny person could be turned into gross-out moments?

Lucky Cat is the best. Her students call her Lucky Cat because she's always cheerful and she does a precious little paw thing. The name is meant to be endearing! They like her, and she's portrayed consistently as a good educator and generally nice person to be around. She's fashionable, too! She has the cutest little outfits!

And she's fat! It's just a thing about her not worth commenting upon! Shit, I wish the show's lack of commentary weren't worth my commenting upon, except, ugh, you know it is. It's even more so worth saying because I've seen her in something else where she was exactly what she isn't here, and it was vile. The contrast is incredible.

Love you, girl, one fat, overcaffeinated educator to another.

5. Delicious(ly timed) pining

I want to talk about the structure of the show for a moment, and I'm going to try and do it as spoiler-free as I can. Even so, this gets into territory that you might be better off going into blind, especially if you like the tension of not knowing where a love story is going. If you're convinced already that you need to watch this show, skip this section -- scroll right down to the picture of a pitcher and glass of lemon water on a kitchen counter.

Go on, now, get.

However, if you're still on the fence about watching it, though (or if you've seen it already and just like reading my thoughts on it!), here's a very slightly spoilery selling point for you:

Normally, BL shows are all about waiting for the moment those boys finally realize what's up and kiss one another. The On1y One makes what I think is a brilliant decision to frontload the kissing. These boys smooch twice all the way up in episode 2 -- but under circumstances that are, respectively, a dare and a faux-casual demonstration that the dare didn't mean anything.

And that's it. They don't kiss again.

I think this is such a good choice because it makes those boys spend the entire rest of the show with three thoughts in their heads: we have already kissed; it didn't mean anything to him; I think it might mean something to me. Their entire friendship is colored by the knowledge that, yeah, that happened. If anything, it makes the BL-style waiting even more glorious, because now it's not about wondering if I kissed him, what would he do? but about wondering if I kissed him again, would it still be a joke to him?

There's also some very good asymmetry in there, in how Jiang Tian is clearly already the world's greatest expert at stuffing his gay desires into a little box and not making them anyone else's problem, while Sheng Wang is having a sexual awakening in real time.

You figure out very near the end why Jiang Tian has a complicated relationship to his own gay longings, and boy, is it a hell of a reason. I know we joke about characters who are both gay and homophobic, and I don't want to call him homophobic, because that's not it. But you definitely get to see why, of all his locked-down feelings, he's locked the gay ones down hardest of all.

Meanwhile Sheng Wang is popular, has friends, has surely been on a number of cute and chaste little dates, has probably even kissed a couple very nice girls -- and has clearly never had a horny thought in his entire life before now. He is both falling in love and figuring out what makes him hard at the same time, and oh boy, that is some rough shit to hit at seventeen. You get to see him recontextualize those kisses several times, slowly putting names to the emotions he didn't know he was having. And when he does finally understand the extent of what he's feeling, he makes a stupid decision about it, because of course he does. He's seventeen. Stupid decisions come with the territory.

Anyway, once they finally get to fucking, Sheng Wang is going to be the lord high king of the bratty bottoms. Just an absolute menace. He's got Jiang Tian's number so hard, and Jiang Tian is going to love suffering through every minute of it.

Okay, did you scroll down? Here's a little more spoiler buffer! Hi! How are you doing today? I'm having fun writing this. I hope you'll like watching it. There, that should be enough.

caveat: This is not an ending.

I need to stress how much this is clearly made to be a part one of more, and also how a second season has not been announced and thus is not guaranteed. I am being optimistic based on a) how good it is, b) how much clout the director has, and c) the fact that it's so new, it makes sense that further installments might not be announced yet. But if an unfinished (and possibly never-finished) series bothers you, maybe put this one in your pocket for later.

But oh, this show needs a second season. I am burning incense to the television gods in hope that it gets a second season.

Want to tuck in for some actual good television?

This one is wonderfully easy to find. We watched it on GagaOOLala, but you can also find it on AppleTV, WeTV, Viki, and iQiyi.

Back to the Your Name Engraved Herein connection: The On1y One reads to me in many ways like a celebration of how far Taiwanese culture has come about gay people. Like, things still absolutely aren't perfect in 2012, when this show is set, but at the same time, it's no longer 1987 -- which was the homophobic, hopeless world Liu Kuang-Hui grew up in. If Your Name tells the story of what actually happened, this series tells the story of what the person that all happened to imagines things could be like today. It's so hopeful it makes me choke up a little thinking about it.

Bah, just go watch it. Do it! Go! There's links right up there!

Gay thoughts say peek-a-boo.

#The On1y One #mou mou #moumou #某某 #rec post #i made this

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thelaithlyworm · 3 years ago

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Fic writer review, thank you to @animanightmate for the tag ♥

how many works do you have on AO3?

TWO HUNDRED AND NINETY-THREE!!! (I shall have to do something special for the 300-versary.)

what’s your total AO3 word count?

595,085 Okay. So that’s, uh, a alot.

how many fandoms have you written for and what are they?

Uh, a little over 80? (Those fic exchanges and podfic prompts can really expand a lady’s list, yeah?) I was really big in The Musketeers for a while. The next biggest are Star Trek: Picard, and Nirvana In Fire, both of which a smaller fandoms, packed full of nice people. And I have a fair few of podfics in Good Omens.

what are your top 5 fics by kudos?

“Sleep of the Just”

“Flying Monkeys”

“Things Darcy Lewis Learned About S.H.I.E.L.D”

“Yellow Ducky Pyjamas”

“Paperwork Ninja”

all of which were written after the first Avengers movie and I was... enthused. MCU fandom is large enough that it drowns out all other stats.

do you respond to comments, why or why not?

Generally, yes. I like the feeling of community, it’s polite, (and I don’t nearly get so many that I have to make choices about ‘writing time’ vs. ‘responding to comments’ time).

what’s the fic you’ve written with the angstiest ending?

Now, technically that would be J’attendrai, which is original fic, written for an exchange, set in WWII France and, uh, I swear the giftee said they liked The Angst.

On the other hand, the end of The Lion and the Serpent, while more bittersweet than straight angst, spends 140,000 words dragging characters we care about through certain unavoidable moments of pain and some of those issues aren’t ever going to go away or be healed or brought to justice, so...

do you write crossovers? if so what is the craziest one you’ve written?

Sometimes. None of them are crazy, they are all perfectly reasonable given the context, and so I cannot answer the second part of this question.

have you ever received hate on a fic?

Not that I recall.

do you write smut? if so what kind?

Sometimes.

*scratches head*

I tend not to go into detail unless there’s some element of plot or character being worked through. Which means... if the characters involved have an uncomplicatedly happy time then it’s likely to be a Fade to Black. If I write the whole thing out, there’s generally a note of sadness or anxiety mixed in with the fun times.

have you ever had a fic stolen?

Not to my knowedge.

have you ever had a fic translated?

Yep. Every now and then a very courteous Russian asks for permission to translate a shorter work. (It’s very flattering.)

have you ever co-written a fic before?

Not a fic, though I have co-written other things.

what��s your all time favorite ship?

I don’t really do OTPs.

what’s a WIP that you want to finish but don’t think you ever will?

I decline to answer on the grounds I might incriminate myself.

what are your writing strengths?

Short, vivid scenes that convey a lot of sene]se of place and emotional nuance with a few sentences. Also, I think I’m pretty funny.

what are your writing weaknesses?

Action scenes! ARGH!! Plotting long forms.

what are your thoughts on writing dialogue in other languages in a fic?

Clarity is important. Something like, “Bonjour!” is likely to be understood by the average audience I write for, but long complicated sentences in other languages aren’t. So... how can I indicate what was just said in the surrounding text? Does it need to be in <other language> or can I paraphrase or use a translation convention? Subtitle? Foot notes? (Foot notes are clunky, and best avoided.)

Conversely, the odds of at least one native speaker (given the eclecticness of fandom) reading it are quite high - and nobody enjoys reading something clunky or ludicrous in their native tongue, which means more work for me trying to get it grammatically accurate.

In other words, I’m not going to use other languages verbatim unless they’re important to the work. I do sometimes try to write English sentences to mirror the grammar and phrasing, though, to get the feel.

what was the first fandom you wrote for?

The Hobbit, with a side of lore from The Lord of the Rings and The Silmarillion. I wrote about Belladonna Took before she was a popular self-insert character!

what’s your favorite fic you’ve written?

I Love All My Children Equally.

Thank you for the tag! ❤ I’m tagging @procrastinatorproject, @regionalpancake, @spinifex, @jazzfic and @evilasiangenius though do feel free to ignore this if you don’t want to do it, or answer it anyway, even if I haven’t tagged

#ask meme

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bngrc · 3 years ago

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I spent my afternoon editing a song translation with the help of a native Chinese speaker. I’ve translated several songs from English into Chinese over the past year, and the editing process is always more tedious and complicated than I expect it to be.

People who are willing to offer help with translation generally know very little about songwriting. They know about translating written prose, or spoken dialogue.

When doing conventional translation, the main concern is accuracy.

The translator tries to look for words and expressions that carry the same 1) meaning 2) connotation 3) degree of formality. Compromises will be made, of course. No translation can ever be completely accurate. But accuracy is the priority.

When translating song lyrics, the main concern is prosody. That is to say, the lyrics have to sound good.

A song translator must keep in mind that they are writing a song first, and a translation second. If a lyric needs to be wailed in anguish, the song translator needs to pick words that contain the right vowel sounds for wailing, even if it means taking some liberties with translation accuracy.

Subtitles must be translated on a sentence-by-sentence basis. The song translator can’t always think that way. They work on more of a verse-by-verse basis.

Of course the song must convey the same general intention, but the song cannot be micromanaged. The song translator must work within a syllable limit, so they might throw out less important line to make space for a more nuanced interpretation of a more important lyric.

So asking for help with a translation becomes an absurdly complicated process.

Because the person offering assistance might have a superior mastery of both languages, but they won’t understand the song translator’s priorities if they’ve never written a song before.

And the song translator will often need to spend a great deal of time not only explaining, but also justifying their priorities.

#langblr #I didn't have the brain to write this post in Chinese but I might try later

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cgiuniverse · 5 years ago

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Content Component

Here are the components of content which we will be discussed:

1. TEXT

Definition:

In academic terms, a text is anything that conveys a set of meanings to the person who examines it. Texts are not limited to written materials, such as books, magazines, and newspapers. Those items are indeed texts—but so are movies, paintings, television shows, songs, political cartoons, online materials, advertisements, maps, works of art, and even rooms full of people. If we can look at something, explore it, find layers of meaning in it, and draw information and conclusions from it, we’re looking at a text.

Strengths:

1. It develops writing creativity and spread the purpose of writing.

2. It can be used as subtitle of video so viewers can understand the message of video while the explanation in foreign languages.

3. Adds more information when we forget to mentioning some information on the videos and pictures.

4. Text helps deaf people when they are watching video.

5. Text or words have energy and power with the ability to help, to heal, to hinder, to hurt, to harm, to humiliate and to humble.

Weaknesses:

1. If the sentences or words are too long, people tends lazy to read.

2. Easy to cause misunderstanding if there are typos and punctuation.

3. Sometimes the content of texts are not good, it can be destructive words which hurt others.

4. Some applications and social media platforms limit short messages can be post.

5. An explanation that is too complicated will misunderstand the reader.

2. PICTURE: designs or representations made in various ways (such as painting, drawing, or photography) drawing also becomes a very clear or explicit description to suggest a mental image or provide an accurate idea of something

strengths:

1. Associated Thumbnail Image

2. Encourage Social Media Interest and Sharing

3. Support The Information Points

4. Achieve an Emotional Connection

5. Convey Professionalism

Weakness:

1. Licensing

You have to be careful when using stock photos to make sure you’re not using pictures in a way that overstep the boundaries of the license

2.Lack Authenticity

3. Anyone Can Use Similar Picture.

3 AUDIO content is any type of material or knowledge published that is absorbed by listening.

Strengths:

1. In contrast to other electronic media, radio sets, tape recorders and cassette recorders are not costly in:

2. With the support of battery packs, even without electrical radio tape / cassette recorders can be used

3. These recorders will play back cassettes / tapes at the learner's convenience. That is to say, such materials can be used to replicate, drill, practice and demonstrate certain specific points of teaching.

4. Radio sets, tape / cassette recorders are comparatively convenient and quite compact and can be conveniently used in different locations.Production cost of educational audio programmes is quite reasonable.

5. Tapes / cassettes are generated in compliance with the educational needs and requirements of the individual learner groups.

Weaknesses:

(1) Audio programs are sound based only and do not have visuals. These structures can therefore be boring.

(2) Audio cassettes / tapes are typically produced locally, and even institutionally, so they often lose professional quality.

(3) In case of audio there is no scope for interaction and feedback. Hence these are one-sided/one-way communication and miss the personal touch.

(3) No space for contact and feedback exists for the audio. These are often one-sided / one-way communication and the personal touch is lacking.

4. Video

Video : Visual multimedia source combining a series of images to create a moving image. The video transmits a signal to a computer and determines the order the image captures should be shown in. Videos usually have audio components that suit the images displayed on the screen.

strengths:

1. The video can extract such a big information with limited time.

2. It can give best illustration or explanation to our audience about one complex information to make easy learning (e.g).

3. allow us to record behavior in its situational context, allow for reflection, informants, coding, and use of the behavior or situation for illustration.

4. Video recordings are being used more and more in educational research.

5. to improve teaching, it is essential to understand how video-aided reflection influences teacher change.

Weaknesses

1. High cost

2. Need teamwork in making the videos which are takes many times.

3. Need a special equipment in presentment.

4. Consist of advertisements inside videos, make an audience unsatisfied

5. Animation is the creation of art in motion. Animation is the act of drawing movement to have a meaning and a message. The aim of animation is to make an illustration of montionless object to become more alive.

Example of animation:

Stop motion animation is creating an effect of moving objects from motionless objects by taking one frame at a time and combining all the frames to make a movement.

Strength of animation:

- It catches the attention of the viewers

- It creates a movement for motionless objects

- It can contain a message more than a picture can have

- It brings a topic to life

- It doesn't take a big file size

Weakness of animation:

- Takes a lot of time and effort to take all the frames to make one animation

- Requires skills to operate the animation software

- Limited to edit because of the small size

- Can cost a lot of budget

- Can be distracting if it is presented too many in one page.

Sources:

https://www.teach-ict.com/gcse_new/software/animation/miniweb/pg10.htm.

https://www.bloopanimation.com/types-of-animation/

(.https://scholar.google.com/scholar?hl=en&as_sdt=0,5&q=understanding+of+video+strength+and+weaknesses#d=gs_qabs&u=%23p%3DfRbZVAsZFggJ)

(https://scholar.google.com/scholar?hl=en&as_sdt=0,5&q=understanding+of+video+strength+and+weaknesses#d=gs_qabs&u=%23p%3D0ZwFH3_mTEQJ).

(https://scholar.google.com/scholar?start=20&q=understanding+of+video+strength+and+weaknesses&hl=en&as_sdt=0,5#d=gs_qabs&u=%23p%3DScFvhyJM0n8J)

(https://id.techinasia.com/talk/kelebihan-dan-kekurangan-menggunakan-video-marketing).

(http://su28he12rm19an90.blogspot.com/2015/09/kelebihan-dan-kekurangan-media-video.html?m=1)

(https://masbos.com/kelebihan-dan-kelemahan-televisi/).

http://www.advertisecolumbus.com/blog/pros-and-cons-of-stock-photos-for-business

https://www.socialmediatoday.com/content/10-benefits-using-images-blogs

https://openoregon.pressbooks.pub/wrd/chapter/what-is-a-text/

https://www.google.com/amp/s/m.huffpost.com/us/entry/6324786/amp

http://www.preservearticles.com/education/what-are-the-major-strengths-and-weaknesses-of-using-audio-programmes-in-education/16508

https://searchcustomerexperience.techtarget.com/definition/audio-content

youtube

#contentdevelopment #contentcomponent

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tainghekhongdaycomvn · 6 years ago

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PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

If you find your presentations are often met with a lukewarm reception, it's a sure sign it's time for you to invest in your data storytelling. By following a few smart rules, a structured approach to data visualization could make all the difference in how stakeholders receive and act upon your insights. In this edition of Whiteboard Friday, we're thrilled to welcome data viz expert Lea Pica to share her strategic methodology for creating highly effective charts.

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

Hello, Moz fans. Welcome to another edition of Whiteboard Friday. I'm here to talk to you this week about a very hot topic in the digital marketing space. So my name is Lea Pica, and I am a data storytelling trainer, coach, speaker, blogger, and podcaster at LeaPica.com.

I want to tell you a little story. So as 12 years I spent as a digital analyst and SEM, I used to present insights a lot, but nothing ever happened as a result of it. People fell asleep or never responded. No action was being taken. So I decided to figure out what was happening, and I learned all these great tricks for doing it.

What I learned in my journey is that effective data visualization communicates a story quickly, clearly, accurately, and ethically, and it had really four main goals — to inform decisions, to inspire action, to galvanize people, and most importantly to communicate the value of the work that you do.

Now, there are lots of things you can do, but I was struggling to find one specific process that was going to help me get from what I was trying to communicate to getting people to act on it. So I developed my own methodology. It's called the PICA Protocol, and it's a visualization prescription for impactful data storytelling. What I like about this protocol is that it's practical, approachable. It's not complicated. It's prescriptive, and it's repeatable. I believe it's going to get you where you need to go every time.

So let's say one of your managers, clients, stakeholders is asking you for something like, "What are our most successful keyword groups?" Something delightfully vague like that. Now, before you jump into your data visualization platform and start dropping charts like it's hot, I want you to take a step back and start with the first step in the process, which is P for purpose.

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that — I hear you guys are like into keywords a little bit — you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

Now, in this case, we have a categorical comparison, so I always go back to basics. It's an oldie but goodie, but we're going to do the tried-and-true bar chart. It's universally understood and doesn't have a learning curve. What I would not recommend are pie charts. No, no, no. Unless you only have two segments in your visual and one is unmistakably larger than the other, pie charts are not your best choice for communicating categorical comparison, composition, or ranking.

I for Insight

So we have our choice. We're now going to move on to the next step in the methodology, which is I for insight. So an insight is something that gives a person a capacity to understand something quickly, accurately, and intuitively. Think of those criteria.

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Layout and orientation. So how is the chart configured? Very often we'll use vertical bar charts for categorical comparison, but that will end up having diagonal labels if they're really long, and unless your audience walks around like this all the time, it's going to be confusing because that would be weird. So you want to make sure it's oriented well.

Labeling. In the case of bars, I always prefer to label each bar directly rather than relying on just an axis, because then their eyes aren't jumping from bar to axis to bar to axis and they're paying more attention to you. That's also for line charts. Very often I'll label a line with a maximum, a minimum, and maybe the most important data point.

Interpretation of the data and where we're placing it, the location.

So our interpretation, is it objective or is it subjective? So subjective words are like better or worse or stupid or awesome. Those are opinions. But objective words are higher, lower, most efficient, least efficient. So you really want your observations to be objective.

Have you presented it ethically? Or have you manipulated the view in a way that isn't telling a really ethical picture, like adjusting a bar axis above zero, which is a no-no? But you can do that with a line graph in certain cases. So look for those nuances. You want to basically ask yourself, "Would I be able to uphold this visual in a court of law or sleep at night?"

Location of that insight. So very often we'll put our insights, our interpretation down here or in really tiny letters up here. Then up here we'll put big letters saying this is sales, my keyword category. No. What we want to do is we want to put our interpretation up here. This top area is the most important real estate on your visual. That's where their eyes are going to look first. So think of this like a BuzzFeed headline for your visual. What do you want them to take away? You can always put what the chart is here in a little subtitle.

Make recommendations. Because that's what a really powerful visual is going to do.

I always suggest having two recommendations at least, because this way you're empowering your audience with a choice. This way you can actually be subjective. That is okay in this case, because that's your unique subject matter expertise.

Are your recommendations accountable to specific people? Are they feasible?

What's the cost of not acting on your recommendations? Put some urgency behind it. So I like to put my recommendations in a little box or callout on the side here so it's really clear after I've presented my facts.

C for Context

The next step in the methodology is C for context. What this is saying is, "Do I have all the data points I need to paint a complete picture, or is there more to this story?" So some additional lenses you might find useful are past period comparison, targets or benchmarks are useful, segmentation, things like geography, mobile device. Or what are the typical questions or arguments that your audience has when you present data? They can be super value contextual points.

In this case, I might decide that while they care about the number of sales, because that's most successful to them, I care about the keywords "conversion rates." So I'm going to add a second bar chart here like this, and I'm going to see there's a different story that's popping out here now.

Now, this is where your data storytelling really comes into play. This particular strategy is called a table lens or a side-by-side bar chart. It's what I recommend if you want to combine two categorical metrics together.

A for Aesthetics

Now, the last step in the methodology is A for aesthetics. Aesthetics are how things look. So it's not about making it look pretty. No, it's asking, "Does my viz comply with brain best practices of how we absorb information?"

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

Now, I'm a crunchy granola hippie, so I love to detox every day. I've developed a data visualization detox that entails removing things like grid lines, borders, axis lines, line markers, and backgrounds. Get all of that junk out of there, really clean up. You can align everything to the left to make sure that the brain is following things properly down. Don't center everything.

2. Use uniform colors (plus one standout color for emphasis)

Now, you'll notice that most of my bars here have a uniform color — simple black. I like to color everything one color, because then I'll use a separate, standout color, like this blue, to strategically emphasize my key message. You might notice that I did that throughout this step for the words that I want you to pick out. That's why I colored these particular bars, because this feels like the story to me, because that is the storytelling part of this message.

Notice that I also colored the category in my observation to create a connective tissue between these two items. So using color intentionally means things like using green for good and red for bad, not arbitrarily, and then maybe blue for what's important.

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

So this is the anatomy of an awesome data viz. I've adapted it from a great book called "Good Charts" by my friend, Scott Berinato. What I have found that by using this protocol, you're going to end up with these wonderful, raving fans who are going to love your work and understand your value. I included a little kitty fan because I can. It's my Whiteboard Friday.

So that is the protocol. I actually have included a free gift for you today. If you click the link at the end of this post, you'll be able to sign up for a Chart Detox Checklist, a full printable PICA Protocol prescription and a Chart Choosing Guide.

Get the PICA Protocol prescription

I would actually love to hear from you. What are the kinds of struggles that you have in presenting your insights to stakeholders, where you just feel like they're not getting the value of what you're doing? I'd love to hear any questions you have about the methodology as well.

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

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golehyas · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

What I learned in my journey is that effective data visualization communicates a story quickly, clearly, accurately, and ethically, and it had really four main goals - to inform decisions, to inspire action, to galvanize people, and most importantly to communicate the value of the work that you do.

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

Now, you'll notice that most of my bars here have a uniform color - simple black. I like to color everything one color, because then I'll use a separate, standout color, like this blue, to strategically emphasize my key message. You might notice that I did that throughout this step for the words that I want you to pick out. That's why I colored these particular bars, because this feels like the story to me, because that is the storytelling part of this message.

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

bloodyslytherxn-blog · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

kunst-in-verantwortung-blog1 · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

nankaih-blog · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

solongdarling-blog · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

fromthegrotto-blog1 · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

coloss-us-blog · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

eve-evi-blog · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

tvrdojezgreno-blog · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes

bruised-barbie-blog · 6 years ago

Text

PICA Protocol: A Visualization Prescription for Impactful Data Storytelling - Whiteboard Friday

Posted by Lea-Pica

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

P for Purpose

So I found that every great data visualization started with a very focused question or questions.

Why do you exist? Get philosophical with it.

What need of my audience are you meeting?

What decisions are you going to inform?

These questions help you get really focused about what you're going to present and avoid the sort of needle in a haystack approach to seeing what might stick.

So the answers to these questions are going to help you make an important decision, to choose an appropriate chart type for the message that you're trying to convey. Some of the ways you want to do that - I hear you guys are like into keywords a little bit - you want to listen for the keywords of what people are asking you for. So in this case, we have "most successful." Okay, that indicates a comparison. Different types or campaigns or groups, those are categories. So it sounds like what we're going for is a categorical comparison. There are other kinds of keywords you can look for, like changing over time, how this affects that. Answers or opinions. All of those are going to help you determine your most appropriate visual.

I for Insight

So here, does my display surface the story and answer these questions intuitively? That's our criteria. The components of that are:

Interpretation of the data and where we're placing it, the location.

Make recommendations. Because that's what a really powerful visual is going to do.

Are your recommendations accountable to specific people? Are they feasible?

C for Context

A for Aesthetics

1. Decrease visual noise

So the first step in doing that is we want to decrease visual noise, because that creates a lot of tension. So decreasing noise will increase the chance of a happy brain.

2. Use uniform colors (plus one standout color for emphasis)

3. Source your data

Then finally, you always want to source your data. That increases the trust. So you want to put your platform and your date range. Really simple.

Get the PICA Protocol prescription

So thank you for watching this edition of Whiteboard Friday. I hope you enjoyed it. We'll see you next week, and please remember to viz responsibly, my friends. Namaste.

Video transcription by Speechpad.com

0 notes