Netflix Connect

Netflix Connect

Improving content discovery on streaming platforms

Improving content discovery on streaming platforms

Timeline

Timeline

Timeline

5 weeks

5 weeks

5 weeks

Industry

Industry

Industry

Entertainment

Entertainment

Entertainment

Platform

Platform

Platform

Desktop website

Desktop website

Desktop website

Services

Services

Services

User research

Product strategy

UI design

Usability testing

User research

Product strategy

UI design

Usability testing

User research

Product strategy

UI design

Usability testing

The problem

The problem

The problem

We've all spent too long scrolling through Netflix, only to give up and rewatch something familiar. This is the paradox of choice in action—having so many options should make finding something to watch easier, but instead leads to decision paralysis. Research shows users spend 48 minutes per week just deciding what to watch—that's 112 days across an adult lifetime spent choosing content. 

We've all spent too long scrolling through Netflix, only to give up and rewatch something familiar. This is the paradox of choice in action—having so many options should make finding something to watch easier, but instead leads to decision paralysis. Research shows users spend 48 minutes per week just deciding what to watch—that's 112 days across an adult lifetime spent choosing content. 

We've all spent too long scrolling through Netflix, only to give up and rewatch something familiar. This is the paradox of choice in action—having so many options should make finding something to watch easier, but instead leads to decision paralysis. Research shows users spend 48 minutes per week just deciding what to watch—that's 112 days across an adult lifetime spent choosing content. 

The solution

The solution

The solution

Netflix Connect is a social discovery feature that enables users to share and receive recommendations and view friend activity directly within Netflix. By integrating the recommendation system users already trust most—their social networks—the feature replaces generic algorithmic suggestions with social proof from people who know their taste best.

Netflix Connect is a social discovery feature that enables users to share and receive recommendations and view friend activity directly within Netflix. By integrating the recommendation system users already trust most—their social networks—the feature replaces generic algorithmic suggestions with social proof from people who know their taste best.

Netflix Connect is a social discovery feature that enables users to share and receive recommendations and view friend activity directly within Netflix. By integrating the recommendation system users already trust most—their social networks—the feature replaces generic algorithmic suggestions with social proof from people who know their taste best.

MY INITIAL HYPOTHESIS

MY INITIAL HYPOTHESIS

MY INITIAL HYPOTHESIS

The amount of time spent browsing tells me people lack confidence in their choices—perhaps some form of social validation might be the missing piece.

The amount of time spent browsing tells me people lack confidence in their choices—perhaps some form of social validation might be the missing piece.

The amount of time spent browsing tells me people lack confidence in their choices—perhaps some form of social validation might be the missing piece.

TL;DR

TL;DR

TL;DR

DISCOVER

DISCOVER

DISCOVER

Understanding the bigger picture (literally)

Understanding the bigger picture (literally)

I started by analyzing major streaming platforms—focusing mainly on their content curation and presentation. I discovered that content discovery was a universal struggle, though each platform faced a different issue:

I started by analyzing major streaming platforms—focusing mainly on their content curation and presentation. I discovered that content discovery was a universal struggle, though each platform faced a different issue:

Netflix's algorithm provides numerous suggestions, but these can feel inconsistent, repetitive and random.

Netflix's algorithm provides numerous suggestions, but these can feel inconsistent, repetitive and random.

Prime Video clutters its interface by mixing paid and free content, making navigation and discovery confusing.

Prime Video clutters its interface by mixing paid and free content, making navigation and discovery confusing.

Disney+ and Apple TV+ have more focused libraries but struggle with limited content and slower rollouts.

Disney+ and Apple TV+ have more focused libraries but struggle with limited content and slower rollouts.

Interestingly, the most successful discovery patterns came from indirect competitors like YouTube and Spotify, both of which offered strong personalization algorithms and social discovery features.

Interestingly, the most successful discovery patterns came from indirect competitors like YouTube and Spotify, both of which offered strong personalization algorithms and social discovery features.

Understanding the bigger picture (literally)

Netflix's algorithm provides numerous suggestions, but these can feel inconsistent, repetitive and random.

Prime Video clutters its interface by mixing paid and free content, making navigation and discovery confusing.

Disney+ and Apple TV+ have more focused libraries but struggle with limited content and slower rollouts.

I started by analyzing major streaming platforms—focusing mainly on their content curation and presentation. I discovered that content discovery was a universal struggle, though each platform faced a different issue:

Interestingly, the most successful discovery patterns came from indirect competitors like YouTube and Spotify, both of which offered strong personalization algorithms and social discovery features.

Behind the scenes of user behaviour

Behind the scenes of user behaviour

Behind the scenes of user behaviour

With the context from the secondary research, I interviewed 6 regular users of Netflix and other streaming platforms. The research confirmed the universal discovery problem and revealed two distinct user behaviours when it comes to finding something to watch:

With the context from the secondary research, I interviewed 6 regular users of Netflix and other streaming platforms. The research confirmed the universal discovery problem and revealed two distinct user behaviours when it comes to finding something to watch:

With the context from the secondary research, I interviewed 6 regular users of Netflix and other streaming platforms. The research confirmed the universal discovery problem and revealed two distinct user behaviours when it comes to finding something to watch:

The confident click

The browsing spiral

Open Netflix with no title in mind

Hear about title from friend/social media buzz

Open Netflix to search for specific title

Watch with confidence backed by social proof

Most of the time, genuine satisfaction/enjoyment

Scroll through suggestions provided by algorithms

Watch several random episodes/trailers to test quality

Abandon search/watch something familiar

Watch something hit or miss

The confident click

The browsing spiral

Open Netflix with no title in mind

Hear about title from friend/social media buzz

Open Netflix to search for specific title

Watch with confidence backed by social proof

Most of the time, genuine satisfaction/enjoyment

Scroll through suggestions provided by algorithms

Watch several random episodes/trailers to test quality

Abandon search/watch something familiar

Watch something hit

or miss

The confident click

The browsing spiral

Open Netflix with no title in mind

Hear about title from friend/social media buzz

Open Netflix to search for specific title

Watch with confidence backed by social proof

Most of the time, genuine satisfaction/ enjoyment

Scroll through suggestions provided by algorithms

Watch several random episodes/trailers to test quality

Abandon search/watch something familiar

Watch something hit or miss

Sometimes, browsing on Netflix itself did lead to finding content, but it was often inefficient unreliable, especially compared to social recommendations from people who either knew user tastes and preferences or were similar to them.

Sometimes, browsing on Netflix itself did lead to finding content, but it was often inefficient unreliable, especially compared to social recommendations from people who either knew user tastes and preferences or were similar to them.

Sometimes, browsing on Netflix itself did lead to finding content, but it was often inefficient unreliable, especially compared to social recommendations from people who either knew user tastes and preferences or were similar to them.

WHAT I DISCOVERED

WHAT I DISCOVERED

The most successful content discovery was happening outside the platform entirely —social recommendations consistently outperformed algorithmic suggestions.

The most successful content discovery was happening outside the platform entirely —social recommendations consistently outperformed algorithmic suggestions.

The most successful content discovery was happening outside the platform entirely —social recommendations consistently outperformed algorithmic suggestions.

DEFINE

DEFINE

DEFINE

Zooming in on the problem

Zooming in on the problem

Zooming in on the problem

These findings shaped my understanding of the core user I was designing for—individuals caught between wanting great content and lacking efficient ways to find it.

These findings shaped my understanding of the core user I was designing for—individuals caught between wanting great content and lacking efficient ways to find it.

These findings shaped my understanding of the core user I was designing for—individuals caught between wanting great content and lacking efficient ways to find it.

15-30 min browsing spirals on Netflix

Craves efficiency + personalisation in discovery

Social recommendations > algorithm suggestions

Overwhelmed by too much choice

15-30 min browsing spirals on Netflix

Craves efficiency + personalisation in discovery

Social recommendations > algorithm suggestions

Overwhelmed by too much choice

15-30 min browsing spirals on Netflix

Craves efficiency + personalisation in discovery

Social recommendations > algorithm suggestions

Overwhelmed by too much choice

DEFINING THE PROBLEM

DEFINING THE PROBLEM

DEFINING THE PROBLEM

How might we transform the way frequent Netflix users discover content on the platform to make the experience personalized, efficient and engaging?

How might we transform the way frequent Netflix users discover content on the platform to make the experience personalized, efficient and engaging?

How might we transform the way frequent Netflix users discover content on the platform to make the experience personalized, efficient and engaging?

IDEATE

IDEATE

IDEATE

Buffering through ideas

Buffering through ideas

Buffering through ideas

When I first started ideating, the truth is I had no idea what to build. There were so many different directions that I could take, and I couldn't pick just one. Eventually, I decided to sketch out my top 4 viable options and present them at a group critique session, hoping to get some feedback.

When I first started ideating, the truth is I had no idea what to build. There were so many different directions that I could take, and I couldn't pick just one. Eventually, I decided to sketch out my top 4 viable options and present them at a group critique session, hoping to get some feedback.

When I first started ideating, the truth is I had no idea what to build. There were so many different directions that I could take, and I couldn't pick just one. Eventually, I decided to sketch out my top 4 viable options and present them at a group critique session, hoping to get some feedback.

Enhanced filtering system

Viewer archetypes

Social Integration

Mood-based discovery quiz

Enhanced filtering system

Viewer archetypes

Social Integration

Mood-based discovery quiz

Enhanced filtering

system

Viewer archetypes

Social Integration

Mood-based discovery quiz

Some of the solutions required users to articulate specific preferences or invest significant effort upfront, others were essentially more complex versions of what already existed.


Social features worked because they matched how users naturally discovered great content: through trusted recommendations from people who understood their taste.

Some of the solutions required users to articulate specific preferences or invest significant effort upfront, others were essentially more complex versions of what already existed.


Social features worked because they matched how users naturally discovered great content: through trusted recommendations from people who understood their taste.

Some of the solutions required users to articulate specific preferences or invest significant effort upfront, others were essentially more complex versions of what already existed.


Social features worked because they matched how users naturally discovered great content: through trusted recommendations from people who understood their taste.

THE IDEATING PROCESS

THE IDEATING PROCESS

THE IDEATING PROCESS

Users were already solving the content discovery problem perfectly through friends and other social sources—they just couldn't do it on Netflix itself.

Users were already solving the content discovery problem perfectly through friends and other social sources—they just couldn't do it on Netflix itself.

Users were already solving the content discovery problem perfectly through friends and other social sources—they just couldn't do it on Netflix itself.

The making of Netflix Connect

The making of Netflix Connect

The making of Netflix Connect

I started with three core features that seemed obvious for a social discovery feature: adding friends to build your network, viewing friend activity to see what others are watching, and sharing and viewing recommendations with and from others.


But a few points came up during the concept testing that suggested these needed further consideration to actually work.

I started with three core features that seemed obvious for a social discovery feature: adding friends to build your network, viewing friend activity to see what others are watching, and sharing and viewing recommendations with and from others.


But a few points came up during the concept testing that suggested these needed further consideration to actually work.

I started with three core features that seemed obvious for a social discovery feature: adding friends to build your network, viewing friend activity to see what others are watching, and sharing and viewing recommendations with and from others.


But a few points came up during the concept testing that suggested these needed further consideration to actually work.

1.

Simplicity in action

Simplicity in action

Simplicity in action

Complex friend discovery would kill adoption. Adding contacts needed to be simple, accessible and provide multiple options. 

Complex friend discovery would kill adoption. Adding contacts needed to be simple, accessible and provide multiple options. 

Complex friend discovery would kill adoption. Adding contacts needed to be simple, accessible and provide multiple options. 

2.

Effortless integration

Effortless integration

Effortless integration

Users wouldn't go out of their way to recommend something to a friend, this needed to be integrated into their current journey. 

Users wouldn't go out of their way to recommend something to a friend, this needed to be integrated into their current journey. 

Users wouldn't go out of their way to recommend something to a friend, this needed to be integrated into their current journey. 

3.

Quality thresholds

Quality thresholds

Quality thresholds

Users didn't want to see every random thing their friends started watching. Friend viewing activity needed to reflect genuine engagement with a title.

Users didn't want to see every random thing their friends started watching. Friend viewing activity needed to reflect genuine engagement with a title.

Users didn't want to see every random thing their friends started watching. Friend viewing activity needed to reflect genuine engagement with a title.

4.

Strong privacy foundation

Strong privacy foundation

Strong privacy foundation

Users were concerned about being "watched" or judged for their viewing habits. Therefore, privacy controls needed to be accessible and comprehensive.

Users were concerned about being "watched" or judged for their viewing habits. Therefore, privacy controls needed to be accessible and comprehensive.

Users were concerned about being "watched" or judged for their viewing habits. Therefore, privacy controls needed to be accessible and comprehensive.

With these refined features in mind, I designed key user flows to ensure the social elements felt seamless within Netflix's existing experience.

With these refined features in mind, I designed key user flows to ensure the social elements felt seamless within Netflix's existing experience.

With these refined features in mind, I designed key user flows to ensure the social elements felt seamless within Netflix's existing experience.

Recommend a title (pre-watching)

Recommend a title (post-watching)

Send/receive friend requests

Recommend a title

(post-watching)

Recommend a title

(pre-watching)

Recommend a title (post-watching)

Send/receive friend requests

Recommend a title

(post-watching)

Recommend a title (pre-watching)

Recommend a title (post-watching)

Send/receive friend requests

Recommend a title

(post-watching)

THE IDEATING PROCESS

THE IDEATING PROCESS

THE IDEATING PROCESS

Social functionality was just the starting point—privacy safeguards, seamless integration, and quality controls would determine whether this is something users would actually adopt.

Social functionality was just the starting point—privacy safeguards, seamless integration, and quality controls would determine whether this is something users would actually adopt.

Social functionality was just the starting point—privacy safeguards, seamless integration, and quality controls would determine whether this is something users would actually adopt.

DESIGN

DESIGN

DESIGN

Becoming part of the production

Becoming part of the production

Becoming part of the production

I started by closely observing Netflix's existing patterns—how they introduce new features, as well as their patterns for onboarding, navigation, and visual hierarchy. I sketched social features based on these established patterns, ensuring new elements would feel familiar.

I started by closely observing Netflix's existing patterns—how they introduce new features, as well as their patterns for onboarding, navigation, and visual hierarchy. I sketched social features based on these established patterns, ensuring new elements would feel familiar.

I started by closely observing Netflix's existing patterns—how they introduce new features, as well as their patterns for onboarding, navigation, and visual hierarchy. I sketched social features based on these established patterns, ensuring new elements would feel familiar.

Home page

Title details page

Add friends page

Post-title modal

New categories

Recommend title page

Home page

Title details page

Add friends page

Post-title modal

New categories

Recommend title page

Home page

Title details page

Add friends page

Post-title modal

New categories

Recommend title page

I then found a Netflix UI toolkit on Figma and used that as a foundation to build upon, creating social components to match the visual language and interaction patterns. Rather than creating something entirely new, I was essentially joining the existing Netflix experience.

I then found a Netflix UI toolkit on Figma and used that as a foundation to build upon, creating social components to match the visual language and interaction patterns. Rather than creating something entirely new, I was essentially joining the existing Netflix experience.

I then found a Netflix UI toolkit on Figma and used that as a foundation to build upon, creating social components to match the visual language and interaction patterns. Rather than creating something entirely new, I was essentially joining the existing Netflix experience.

DECISIONS AROUND DESIGN

DECISIONS AROUND DESIGN

DECISIONS AROUND DESIGN

Social discovery needed to feel seamless rather than separate - woven into existing user flows so social elements felt like they had always been there.

Social discovery needed to feel seamless rather than separate - woven into existing user flows so social elements felt like they had always been there.

Social discovery needed to feel seamless rather than separate - woven into existing user flows so social elements felt like they had always been there.

TEST

TEST

TEST

Making the final cut

Making the final cut

Making the final cut

I conducted an unmoderated usability test via Maze with 11 regular Netflix users. The research revealed genuine enthusiasm for this as a Netflix feature—users weren't just saying it worked, they were saying they actually wanted it.

I conducted an unmoderated usability test via Maze with 11 regular Netflix users. The research revealed genuine enthusiasm for this as a Netflix feature—users weren't just saying it worked, they were saying they actually wanted it.

I conducted an unmoderated usability test via Maze with 11 regular Netflix users. The research revealed genuine enthusiasm for this as a Netflix feature—users weren't just saying it worked, they were saying they actually wanted it.

I think for a new feature in beta testing, it worked great and was simple enough to navigate. I would be interested if such a feature existed on Netflix

I think for a new feature in beta testing, it worked great and was simple enough to navigate. I would be interested if such a feature existed on Netflix

I think for a new feature in beta testing, it worked great and was simple enough to navigate. I would be interested if such a feature existed on Netflix

4.6/5

4.6/5

4.6/5

Overall satisfaction

Overall satisfaction

Overall

satisfaction

Average user rating of the concept and feature experience

Average user rating of the concept and feature experience

Average user rating of the concept and feature experience

4.3/5

4.3/5

4.3/5

Ease of

use

Ease of

use

Ease of

use

Average usability score across all tested user flows and tasks

Average usability score across all tested user flows and tasks

Average usability score across all tested user flows and tasks

4.5/5

4.5/5

4.5/5

Improves discovery

Improves discovery

Improves

discovery

How likely users think this feature would make content discovery easier

How likely users think this feature would make content discovery easier

How likely users think this feature would make content discovery easier

100%

100%

100%

Feature adoption

rate

Feature adoption

rate

Feature adoption

rate

11/11 users expressed interest in using this feature if it existed

11/11 users expressed interest in using this feature if it existed

11/11 users expressed interest in using this feature if it existed

However, a few tweaks were needed to make users feel confident in using these new features.

However, a few tweaks were needed to make users feel confident in using these new features.

However, a few tweaks were needed to make users feel confident in using these new features.

1.

Users hit a dead end when trying to recommend content—if they had no friends added or wanted to share with someone they weren't connected with, the flow didn't guide them on what to do next.

THE SOLUTION

Added a clear pathway for users with no connections, prompting them to "Start Connecting" before they can share recommendations.

When searching for someone not in their network, users are directed towards the "Start Connecting" page to add them as a friend

2.

Users wanted granular privacy control over specific content they were watching; however, these privacy settings were buried in menus, and users would have to navigate away from their current screen to access these.

THE SOLUTION

Added a privacy notification that appears during viewing, informing users that "Your connections can see your viewing activity," with an option to turn on privacy mode

Easy toggle to turn on/off privacy mode in case users changed their mind

3.

For privacy reasons, users wanted the option to completely opt out of social features. Originally, they could only do this individually in the settings.

THE SOLUTION

Introduced master toggle on the main Netflix Connect modal that disables all social features. Provides easy access instead of having to do this manually in settings

When turned off—users can't find or be found by others, and can't share or see friend activity until they choose to re-enable Netflix Connect

4.

Users wanted assurance that shown content reflected genuine engagement, not abandoned or incomplete viewing.

THE SOLUTION

Added a hover tooltip for the "Your Connections Think You Would Like" category that provides transparency about the source of recommendations.

Similarly, introduced clear criteria messaging for the "Popular Amongst Your Connections" category, ensuring users understand recommendations come from substantial friend engagement rather than casual viewing.

1.

Users hit a dead end when trying to recommend content—if they had no friends added or wanted to share with someone they weren't connected with, the flow didn't guide them on what to do next.

THE SOLUTION

Added a clear pathway for users with no connections, prompting them to "Start Connecting" before they can share recommendations.

When searching for someone not in their network, users are directed towards the "Start Connecting" page to add them as a friend

2.

Users wanted granular privacy control over specific content they were watching; however, these privacy settings were buried in menus, and users would have to navigate away from their current screen to access these.

THE SOLUTION

Added a privacy notification that appears during viewing, informing users that "Your connections can see your viewing activity," with an option to turn on privacy mode

Easy toggle to turn on/off privacy mode in case users changed their mind

3.

For privacy reasons, users wanted the option to completely opt out of social features. Originally, they could only do this individually in the settings.

THE SOLUTION

Introduced master toggle on the main Netflix Connect modal that disables all social features. Provides easy access instead of having to do this manually in settings

When turned off—users can't find or be found by others, and can't share or see friend activity until they choose to re-enable Netflix Connect

4.

Users wanted assurance that shown content reflected genuine engagement, not abandoned or incomplete viewing.

THE SOLUTION

Added a hover tooltip for the "Your Connections Think You Would Like" category that provides transparency about the source of recommendations.

Similarly, introduced clear criteria messaging for the "Popular Amongst Your Connections" category, ensuring users understand recommendations come from substantial friend engagement rather than casual viewing.

1.

Users hit a dead end when trying to recommend content—if they had no friends added or wanted to share with someone they weren't connected with, the flow didn't guide them on what to do next.

THE SOLUTION

Added a clear pathway for users with no connections, prompting them to "Start Connecting" before they can share recommendations.

When searching for someone not in their network, users are directed towards the "Start Connecting" page to add them as a friend

2.

Users wanted granular privacy control over specific content they were watching; however, these privacy settings were buried in menus, and users would have to navigate away from their current screen to access these.

THE SOLUTION

Added a privacy notification that appears during viewing, informing users that "Your connections can see your viewing activity," with an option to turn on privacy mode

Easy toggle to turn on/off privacy mode in case users changed their mind

3.

For privacy reasons, users wanted the option to completely opt out of social features. Originally, they could only do this individually in the settings.

THE SOLUTION

Introduced master toggle on the main Netflix Connect modal that disables all social features. Provides easy access instead of having to do this manually in settings

When turned off—users can't find or be found by others, and can't share or see friend activity until they choose to re-enable Netflix Connect

4.

Users wanted assurance that shown content reflected genuine engagement, not abandoned or incomplete viewing.

THE SOLUTION

Added a hover tooltip for the "Your Connections Think You Would Like" category that provides transparency about the source of recommendations.

Similarly, introduced clear criteria messaging for the "Popular Amongst Your Connections" category, ensuring users understand recommendations come from substantial friend engagement rather than casual viewing.

WHAT TESTING SAID

WHAT TESTING SAID

It was important for users to feel empowered rather than exposed—every iteration focused on giving them more control and transparency.

It was important for users to feel empowered rather than exposed—every iteration focused on giving them more control and transparency.

It was important for users to feel empowered rather than exposed—every iteration focused on giving them more control and transparency.

REFLECT

REFLECT

REFLECT

CONNECT

CONNECT

DISCOVER

DISCOVER

RECOMMEND

RECOMMEND

MANAGE

MANAGE

CONNECT

DISCOVER

RECOMMEND

MANAGE

Filling in the plot holes

Filling in the plot holes

Filling in the plot holes

Netflix Connect doesn't just solve the problem of content discovery, it transforms how users relate to and engage with the platform.

Netflix Connect doesn't just solve the problem of content discovery, it transforms how users relate to and engage with the platform.

Netflix Connect doesn't just solve the problem of content discovery, it transforms how users relate to and engage with the platform.

Taps into existing behaviours that users are already familiar with

Taps into existing behaviours that users are already familiar with

Taps into existing behaviours that users are already familiar with

I mostly get recommendations from my friends. Then I go check it out and 80% of the time what they suggested is good

I mostly get recommendations from my friends. Then I go check it out and 80% of the time what they suggested is good

I mostly get recommendations from my friends. Then I go check it out and 80% of the time what they suggested is good

Transforms content discovery into a trusted and efficient process

Transforms content discovery into a trusted and efficient process

Transforms content discovery into a trusted and efficient process

I think it was a really good feature and would definitely make it easier to choose things to watch and get recommendations.

I think it was a really good feature and would definitely make it easier to choose things to watch and get recommendations.

I think it was a really good feature and would definitely make it easier to choose things to watch and get recommendations.

Creates a foundation for future engagement through added features

Creates a foundation for future engagement through added features

Creates a foundation for future engagement through added features

Adding a watch party feature to this could be great to keep people connected especially with long-distance friends and family

Adding a watch party feature to this could be great to keep people connected especially with long-distance friends and family

Adding a watch party feature to this could be great to keep people connected especially with long-distance friends and family

That's a wrap

That's a wrap

That's a wrap

1.

The ideation process is never straightforward

The ideation process is never straightforward

The ideation process is never straightforward

Exploring multiple ideas (including some not-so-great ones) was essential to finding what actually worked.

Exploring multiple ideas (including some not-so-great ones) was essential to finding what actually worked.

Exploring multiple ideas (including some not-so-great ones) was essential to finding what actually worked.

2.

Design constraints can act as creative catalysts

Design constraints can act as creative catalysts

Design constraints can act as creative catalysts

Using Netflix's existing design system forced better integration, creating truly native-feeling features.

Using Netflix's existing design system forced better integration, creating truly native-feeling features.

Using Netflix's existing design system forced better integration, creating truly native-feeling features.

3.

Users may already have the answers to a problem

Users may already have the answers to a problem

Users may already have the answers to a problem

In the end, the most effective solution enabled existing behaviours rather than inventing new ones.

In the end, the most effective solution enabled existing behaviours rather than inventing new ones.

In the end, the most effective solution enabled existing behaviours rather than inventing new ones.

Behind the scenes…

Behind the scenes…

Behind the scenes…

As one of my first major projects, I didn't fully understand the power of components and variants in Figma, which could have made the design process significantly more efficient and consistent. I also chose unmoderated testing for this study, but in hindsight, moderated sessions may have been better suited for such a radical feature addition. Some participants got fixated on how to use the testing platform rather than focusing on the design itself, making it difficult to distinguish between genuine usability issues and platform confusion. Moderated testing could have allowed me to clarify confusion in real-time and gather more detailed insights about user reactions to this conceptual shift.

As one of my first major projects, I didn't fully understand the power of components and variants in Figma, which could have made the design process significantly more efficient and consistent. I also chose unmoderated testing for this study, but in hindsight, moderated sessions may have been better suited for such a radical feature addition. Some participants got fixated on how to use the testing platform rather than focusing on the design itself, making it difficult to distinguish between genuine usability issues and platform confusion. Moderated testing could have allowed me to clarify confusion in real-time and gather more detailed insights about user reactions to this conceptual shift.

As one of my first major projects, I didn't fully understand the power of components and variants in Figma, which could have made the design process significantly more efficient and consistent. I also chose unmoderated testing for this study, but in hindsight, moderated sessions may have been better suited for such a radical feature addition. Some participants got fixated on how to use the testing platform rather than focusing on the design itself, making it difficult to distinguish between genuine usability issues and platform confusion. Moderated testing could have allowed me to clarify confusion in real-time and gather more detailed insights about user reactions to this conceptual shift.

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hello@tianakirpalani.me

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About

Contact

hello@tianakirpalani.me

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About

Contact

hello@tianakirpalani.me