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  • Empathy is not enough  the power of engaging hard to reach users

  • Ariba Jahan PARISS: Hey, everyone.

  • Again.

  • This is our final talk of the evening.

  • So, this next speaker coming up, she climbed mountain Kilimanjaro, isn't that crazy, okay.

  • So, this is who is not in the room: Building better products by engaging hard to reach

  • users.

  • Let's give a warm welcome to Ariba Jahan.

  • [ Applause ] ARIBA: Hi.

  • Just so you know, you'll see me stepping on and stepping off a stool here.

  • I'm 4 foot 11 inches so some adjustments needed to be made.

  • So, I'm gonna give you a second to kind of read some of these headlines that showcase

  • what's been happening in our industry.

  • So, this  this is what we get when we don't challenge our assumptions.

  • Hi, I'm Ariba Jahan.

  • And today I'm here to share with you four ways you can challenge your assumptions to

  • avoid headlines like those.

  • And instead build better and more impactful products for your audience.

  • And the four methods  oh, okay.

  • And the four methods I'll share with you are helping us think through product development

  • in a new way at the ad council.

  • And I'm hoping they'll be helpful for you as you bring these back to your work.

  • So, for context, the Ad Council, we're a nonprofit organization that leverages the power of communication

  • to tackle the nation's biggest challenges like preventing wildfires and LGBTQ rights

  • awareness and diversity and inclusion and promoting girls in STEM.

  • We bring together industry leaders to develop campaigns to create social impact and create

  • action.

  • And as the director of innovation at the Ad Council, my responsibility is to facilitate

  • innovative thinking and work in our teams as well as cultivate a culture where experimentation

  • and curiosity can thrive.

  • And I get to do that in many ways including training our whole staff on Splash Box, which

  • is our approach to innovation.

  • And it incorporates methodologies from LEAN as well as human centered design with mindsets

  • to cultivate in our teams.

  • And to date we've trained 80% of the organization, giving us a shared proposal and toolset to

  • innovate.

  • And as a way to bring the training  the skills people learn at the training to life and make

  • them more tangible, we created a project where our new innovators can apply their skills

  • to create a digital prototype for one of our campaign issues.

  • So, today I'm really excited to share with you one of these digital prototype projects

  • where our assumptions got in the way and we had to use these  the four methods I mentioned

  • to uncover our assumptions and to really challenge them.

  • So, the campaign issue we chose was teen bullying prevention.

  • And the task at hand was, well, how do we leverage the power of technology, what it

  • is today, to answer this big question?

  • How might we influence teens to reduce peer mistreatment and empower one another by building

  • and perpetuating a more empathetic, supportive and inclusive culture?

  • Our target audience for this project were teens ranging from the ages 13 to 17 years

  • old who fell into the category of "Good eggs."

  • We defined" Good eggs 'as teens who believe they're good people and value kindness and

  • respect of one another and they want to be the best version of themselves.

  • So, as you can imagine, we were really excited to contribute towards creating a more inclusive

  • world for our next generations.

  • So, as any good team, we dug in n and did a tremendous amount of research.

  • From reading every single research report we could get our hands on about Gen Z, and

  • interviewing teens, teachers, as well as issue experts.

  • And our research gave us so many insightful findings, that we were able to come up with

  • over a hundred ideas and 20 concepts.

  • And we then showed our strongest ideas to team to get some early feedback on which ideas

  • do we refine, how do we refine them?

  • And which ideas should we be leaving behind?

  • After this many rounds of research and getting early user feedback directly from teens, we

  • felt pretty confident in our direction.

  • And we knew that whatever solution we create in order to solve for bullying has to solve

  • the three goals.

  • Our research told us that good eggs have an innate desire to create the change they wanted

  • to see in the world.

  • We wanted to show them that and their actions, hoping they will adopt the kinder behaviors.

  • And two, we should double down on social media.

  • We found out that 91% of Gen Z are on social media.

  • So, we knew immediately that we needed to prioritize and emphasize the role of social

  • media in our digital solution.

  • And three, leverage the rise of CGI influencers.

  • See, at the time, four computer generated based influencers are garnered over 1 million

  • followers on Instagram.

  • And we were kind of blown away by those and we need to do something with this.

  • Whether it's to do storytelling or to model good behaviors to teens in hopes that it works

  • for them.

  • So, keeping these three goals in mind, we refined our 20 concepts into five promising

  • ideas.

  • And then we took these ideas to teams to get some more validation and then start building

  • them.

  • And the main thing we learned at this round with teens is that we were wrong on all fronts.

  • What we focused on as goals were actually just assumptions.

  • Starting with the word bullying.

  • It turns out that the only people that use the word bullying is a bunch of adults who

  • want to end bullying.

  • [ Laughter ] And, you know, we learned that because we

  • talked to teens and when we asked them, hey, can you share your experience with bullying?

  • They didn't have much to share.

  • But when we changed our wording and asked, can you share the last time someone hurt you?

  • Or maybe when you've hurt someone else?

  • They shared stories about being excluded, shaming, blaming.

  • And there was just so much more vulnerability involved.

  • So, it turned out that their language around mistreatment looked very different than ours.

  • And they're actually way more self aware than we give them credit for.

  • We asked them, can you think about a moment where you mistreated someone or you hurt someone.

  • And when they did that, they used words like regret, guilt, is upset as how they felt afterwards.

  • So, they're clearly fully aware of the implications of their actions.

  • And it turned out that even though 91% of Gen Z are on social, they value privacy and

  • authenticity way more than what we knew.

  • To the point where they have two types of Instagram accounts.

  • One is called Finsta which is fake Instagram account.

  • And that is where they are their most authentic self.

  • Photos are unfiltered, they keep it private.

  • No crafted captions and they keep the number of people who can follow that account very

  • small.

  • And then they have the Rinsta, the real Instagram account where it's hyper curated, well crafted

  • captions.

  • Perhaps even song lyrics and that's where they want to have a lot of followers.

  • And when it came down to CGI influencers, only like a few teens knew what a CGI influencer

  • was.

  • And even the ones that followed them only did it out of curiosity for the character's

  • fashion.

  • And if you  I'm not so sure if you can read it, but if you can look at their handwritten

  • feedback on the screen, you'll notice what they wanted instead was someone relatable.

  • Someone who might have had a tough childhood.

  • Someone who has gone through issues.

  • And they also wanted someone funny.

  • I really think just wanted Kevin Hart.

  • [ Laughter ] So, our assumptions were checked.

  • You know?

  • And before I dive into the four tactics that allowed us to uncover these assumptions, I

  • want to talk about assumptions for a second.

  • You know, assumptions  assumption is something we believe to be true without any evidence.

  • And the reason it's so easy for our assumptions and biases to come into our work or to creep

  • up even after tremendous amount of research, is because our brain is constantly making

  • assumptions just in the interest of efficiency.

  • See, the thing is, over the course of 200,000 years, our brain has created several mental

  • shortcuts to help us cope and survive and deal with the tremendous amounts of innovation

  • in our world.

  • So, we end up having shortcuts that help us make sense of large amounts of information.

  • Shortcuts that help us determine what's important to remember and what to recall.

  • Shortcuts that create explanations for us when we don't have enough meaning or when

  • there is not enough context.

  • And shortcuts that help us act quickly.

  • These ready shorts that help us remember how to ride a bike, know 2 plus 2, help us detect

  • joy or frustration in someone's voice and to run from perceived danger.

  • While all of those sound necessary, these are the same shortcuts that cause us to make

  • assumptions, make snap judgments, jump to conclusions and make decisions based on our

  • biases.

  • And these mental shortcuts are more commonly known as cognitive biases.

  • And the thing is, with 180 of these mental shortcuts active in our brain all the time,

  • it's kind of hard to spot when they're getting in the way or when they're active.

  • So, I'll call out three that got in our way and we didn't even notice it.

  • See, we have a mental shortcut that causes us to be easily influenced by what is stored

  • in our memory or what's familiar.

  • And that's the way  that's the reason why all of us use the word bullying to describe

  • that interaction.

  • Even without even questioning does that language even resonate?

  • Does it even work?

  • We have another mental shortcut that causes us to make judgments and impressions by relying

  • only on the information made available to us.

  • And that's why when we see data like 91% of teens are on social media and they spend 9

  • hours consuming media, we're just like, oh my god.

  • They must be sharing everything and they're on it all the time.

  • Let's just like do everything social media related.

  • What we don't do is actively question, well, does this 91% do the same exact thing?

  • Did they all use the same features in the same exact way?

  • Do they all feel the same way?

  • We don't do that.

  • And the last mental shortcut I'll call out is that we're just naturally drawn to details

  • that confirm our own existing beliefs.

  • It's just what we do.

  • This is why we have friends.

  • This is how we make friends.

  • I'll look for someone who likes the same thing as I do.

  • Now we're friends.

  • And the thing is, that same bias is what causes us to find things that validate us.

  • So, when we were super hyped up about CGI influencers, we ended up paying a lot more

  • closer attention to headlines like these that said, oh, my god, CGI influencers are the

  • future of the influencer marketing.

  • And that's what happens.

  • So, while great for survival, mental shortcuts are not great for innovation.

  • And that's how easy it is for mental shortcuts that are designed to help us cope to get in

  • the way of us making products that are right for our audience.

  • So, for the rest of my talk, I will focus on how we used  is it jumping on the screen?

  • Because it's jumping here.

  • So, I just wanted to double check.

  • It's jumping?

  • Okay.

  • I'm gonna assume someone's gonna take care of that.

  • [ Laughter ] But I'll keep going.

  • So, yes.

  • I'll focus on how we used these four methods in the teen bullying prevention prototype

  • projects.

  • And I hope it gives you inspiration on how you can take some of these methods back into

  • your projects so you can challenge your assumption.

  • Okay.

  • So, the first one being mapping  oh!

  • Mapping assumptions.

  • I'll just read for a second so you can have the slides while I talk.

  • All right.

  • We're up.

  • So, the first one I'll talk about is mapping assumptions.

  • It's an activity where we actively  what slide is that?

  • Oh, that's not moving.

  • All right.

  • Now we're there.

  • So, it's an activity where we actively uncover critical uncertainties, unknowns and blind

  • spots about our audience, challenge and solutions we're thinking about exploring.

  • And the thing about assumptions, as we saw, is that they don't always look and feel like

  • assumptions.

  • They feel like facts.

  • So, it's really good to have a diverse team in the room so that we can all help each other

  • spot each other's blind spots and challenge each other's assumptions.

  • So, for our project, in order to map assumptions, we started by asking ourselves questions around

  • teens' experiences with mistreatment.

  • So, we tried to figure out like how much do we know the audience?

  • What type of language do they use?

  • What's their lifestyle?

  • What brings them joy?

  • What are their priority, pain points?

  • And how do they use technology?

  • And then we asked ourselves, well, what do we believe to be true about teen mistreatment?

  • How does mistreatment show up in their lives and how do they solve it?

  • And is this a challenge they need solved by us?

  • And just in general, what else do they know that we should know about and whose voices

  • have been heard?

  • When we did this, we had more questions than answers.

  • And despite all the research we did, we didn't know much about teens.

  • So, we took all of our assumptions and needed to figure out, where do we go from here?

  • So, to prioritize what we needed to dig into, we mapped on a 2x2 grid.

  • From known to unknown, and the Y axis was very important to not very important.

  • It and helped us tease out the critical uncertainties that we needed to figure out before going

  • any further.

  • To recap, mapping assumptions can really help us uncover our blind spots, what we believe

  • to be true versus what is actually true.

  • And critical gaps in the team's overall knowledge.

  • And answering these questions about the audience and the challenge we're solving for is a great

  • way to know where to go next, what to explore before going any further or investing any

  • further in the project.

  • So, after rounds of interviewing with teens and doing brainstorms within our teams, we

  • had about 20 fleshed out concepts and we loved them all.

  • But we had no clue which idea would work.

  • And instead of just choosing an idea, just praying something works, we decided to test

  • five of our strongest concepts.

  • So, we ran several experiments to explore Whether or not our ideas could create the

  • desired outcome we were hoping for and to garner any new knowledge.

  • And while mapping assumptions is a great place to start, testing hypothesis kind of allows

  • you to uncover all the invisible assumptions that we didn't even notice yet.

  • So, to test multiple hypothesis, we do two things.

  • We created hypothesis statements to get really specific on what we were hope our ideas can

  • do.

  • And then that helped us hone in on what are we hoping to uncover through test something

  • and then we identified our riskiest assumptions which were, what are the beliefs we're holding

  • about our ideas that if disproven completely break ours idea altogether?

  • So, in order to create these hypothesis statements, we reframed each of our ideas into a hypothesis

  • by using a Madeline framework like this.

  • You fill in the parentheses with the relevant information in your project.

  • So, we believe this audience has a problem doing this.

  • We believe this solution can help.

  • They will do this engagement resulting in the desired outcome.

  • So, going back to our CGI project, this is an example, our assumptions and our hypothesis

  • is, we believe that teens have a problem noticing the impact of their actions which leads them

  • to mistreat each other.

  • We believe that a fictional CGI character whose life captures the dramatic realities

  • of the teen experience, including teachable moments where the character models kindness,

  • can help.

  • And we believe that teens will follow and relate to the character causing them to reflect

  • and adopt the modeled positive behaviors in real life.

  • So, it really gets the team to focus on, what are we doing here?

  • What are we hoping to do?

  • Versus getting tied up in the features and the color and the UI of the product.

  • So, we did that for all five ideas.

  • And then we needed to identify our riskiest assumption.

  • We did that by first asking, well, what must be true in order for this idea to work?

  • Like at all?

  • And what must be true in order for this idea to add value to the teens' lives?

  • And then when we answered these questions, we looked through them and tried to identify

  • the ones that, if disproven, completely breaks our idea.

  • So, going back to our CGI project, we came up with a lot of things that we're assuming

  • and hoping to be true in order for this idea to work.

  • And what really stood out to us as our riskiest assumption was our belief that teens will

  • resonate with the CGI character.

  • See, if teens don't relate or follow the CGI person, like this whole idea is irrelevant

  • and we're not going to do anything.

  • But what's great about testing is that we can know that without ever spending any time

  • investing in, developing and putting the CGI character together.

  • So, by the time we did this for each one of our ideas, we ended up with like a list of

  • elements and interactions that we were assuming teens would love and engage with.

  • But had no proof.

  • So, all of the  all of them needed to be tested.

  • Like does anonymity really matter?

  • Do teens care about interacting with things in real time and user generated content?

  • And do they really value influencer oriented things?

  • And then we took those and we wanted to test them without having to build anything.

  • So, we used simple things like surveys and design prototypes to test all of those features

  • to figure out, like, where are we going?

  • So, to recap, the simple act of reframing an idea into a hypothesis is such a great

  • reminder that regardless of how exciting our ideas may sound, we don't really know yet

  • if any of them will work.

  • So, they need to be tested in order for us to move forward.

  • And to help prioritize what to even test first, we really hone in on the beliefs we're holding

  • on to about our ideas that if invalidated our idea needs to be scrapped.

  • And the thing is, being able to test our ideas before building anything is actually gave

  • us a lot of freedom from creativity.

  • It gave us the liberty to dream just a little bigger knowing that our audience would let

  • us know what to refine and what to leave behind.

  • So, let's go big.

  • So, testing multiple ideas with our users was super insightful.

  • But there's a limitation to how much we could learn through testing.

  • Because the thing is, when we have prototypes that we're showing and asking questions to

  • teens, they're only reacting to whatever we're giving them.

  • And that's why engaging and working with and empowering our users to create their own solutions

  • was so critical to see.

  • We coordinated with a high school in New York City and we  we hosted three co creation

  • sessions.

  • And we really wanted to understand how do teens perceive bullying today?

  • What types of digital interactions do they even enjoy?

  • And that list of riskiest elements that we were so excited about?

  • We wanted to invalidate or validate some of them.

  • And lastly, we wanted to see how would teens solve this?

  • So, what you see up here is a snapshot of the solutions students came up with when we

  • asked them to design a digital tool that could help people be more mind and inclusive of

  • others.

  • And/or to help people avoid hurting someone's feelings.

  • We purposely didn't use words like teen or bullying because we didn't to want mislead

  • them or drive them in a direction that's not natural for them.

  • We then got our user feedback on these new ideas as well.

  • So, the co creation sessions validated some hypotheses while invalidating others.

  • And what we learned from teens directly helped us design three new cocreated prototypes.

  • And the thing about co creations is, you saw how insightful they were.

  • But they also uncovered ideas that we couldn't have come up with on our own.

  • For example, our students came up with this brilliant idea which they called In My Bag.

  • In my bag is a phrase teens use to indicate when they are feeling emotionally unavailable

  • or sad.

  • So, this is an app that would allow users to air drop or somehow alert their friends

  • when they are not feeling emotionally available and they want to be left alone.

  • And you can see the handwritten feedback from other students on this idea.

  • And their feedback on this idea was super enthusiastic and very validating.

  • They said thing like, it's fire.

  • And you can tell people around you how you're actually feeling.

  • See?

  • Their comments showed us that they wanted to be vulnerable.

  • And they wanted to share how they were feeling.

  • Which is contrary to the social pressure they have to be tough.

  • So, the ability to uncover new learnings about our audience and hear ideas that we couldn't

  • have ever come up with on our own, is what makes co creation so powerful.

  • And by creating space for our users to join us in the process, we get out of our own way.

  • So, it's been quite a journey.

  • From identifying opportunities and researching for insights to coming up with over a hundred

  • ideas to then testing those hypothesis with teens and then co designing some with them,

  • there were moments when our ideas were invalidated and our assumptions were checked.

  • and the thing is, that's what learning looks like.

  • And also we made progress, it didn't come easily.

  • We went out of our way to find a diverse mix of teens to interview and worked with our

  • local high school to organize these co creations.

  • And we needed parents to sign permission slips, we had to work around exam schedules, homework

  • schedules, and we had to be totally okay if a teen suddenly flaked on a phone interview.

  • But you know what?

  • All of that  all of that relentless effort was worth it.

  • Because the audience we were looking to serve was not in the room and their perspective

  • was crucial.

  • And to empower teams to be this relentless, to chase after these unknowns, we must create

  • a culture where curiosity and innovation can thrive.

  • And what does that look like?

  • It's a team where there's less of a monoculture of thoughts and ideas but has people who seek

  • perspectives unlike their own.

  • Where we spend less time defending ideas and spend more time testing our hypothesis with

  • a diverse representation of our audience.

  • We spent less time looking for that one right answer.

  • And realized that we must create space for everyone to embrace the unknown and ambiguity

  • and just stay curious.

  • And instead of using language and reward systems in our workplace to heighten our sense of

  • fear or failure, let's just create a culture that's open to being wrong.

  • So, rounding off, I want you to remember that our brain has many mental shortcuts that are

  • really just constantly on and just trying to help us survive and hope and process the

  • world around us.

  • But those same shortcuts also make us do  make decisions based on our biases, make snap

  • judgments, and make assumptions and miss critical information that others wouldn't miss.

  • So, while we'd all like to believe that we're not that biased or maybe we're not as biased

  • as the other people, that thought in itself is a bias.

  • It's called bias blind spot.

  • So, this bias blind spot can cause us to let our assumptions go unchecked and affecting

  • our ability to make the right product for our audience.

  • So, I want you to remember to do these four things.

  • Let's try to map our assumptions and unknowns about the challenge we're trying to tackle

  • and the people that we're trying to solve for, and the solutions that we think that

  • would help them so we can uncover the gaps of knowledge in our teams and figure out,

  • what do we have to really explore to move any forward?

  • Let's test multiple ideas to see if they really create the outcome we were hoping for?

  • And a great place to start with that is really going after the beliefs that we're holding

  • on to that if proven wrong can completely invalidate our idea.

  • And let's bring our audience more into our process by cocreating with them so that they

  • can solve the things themselves and show us ideas that we can't come up with on our own.

  • And let's be relentless in making sure that the people that we're trying to serve, that

  • their voices are heard and that we have a diverse team in place to hear them and that

  • we are making sure that we're aligned with our product, goals and ethics.

  • And lastly, nurture a team that seeks perspectives unlike their own, values testing and can stay

  • curious.

  • So, instead of fighting the 180 mental shortcuts, evolution has ingrained in us, Let's use these

  • four methods to uncover and challenge our assumptions so that we can make better and

  • more impactful products for our audience.

  • Thank you.

  • [ Applause ] >> Thank you.

  • PARISS: How are you feel something KATIE: I'm pretty tired.

  • I'm pretty tired.

  • I just did some yoga on stage in the other room.

  • That took a lot out of me.

  • But I'm feeling good.

  • I had a good day can you have a good day?

  • PARISS: I had a really good day.

  • KATIE: Did y'all have a good day?

  • PATRICIA: Again, I want to thank the speakers.

  • You did amazing.

  • I know you were all nervous.

  • You killed it.

  • Great job.

  • Round of applause.

  • [ Applause ]

Empathy is not enough  the power of engaging hard to reach users

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共感だけでは十分ではない - 届きにくいユーザーを巻き込む力 - アリバ・ジャハン - JSConf US 2019 (Empathy is not enough - the power of engaging hard-to-reach users - Ariba Jahan - JSConf US 2019)

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    林宜悉 に公開 2021 年 01 月 14 日
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