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Viewly — UX Case Study by Sharon Derik
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Viewly logo Viewly
UI/UX Streaming AI Discovery Mobile Figma
Viewly.

Built around the viewer's clock — not the platform's engagement metrics

6
Core Screens
14
Research Participants
94%
Task Completion
3
Friction Points Resolved
Interactive Figma Prototype Available View Prototype →
Act IScene 01 of 07
The World Before

Every design story starts with a person, a moment, and a feeling they couldn't ignore. This one started with a thumb — scrolling endlessly, finding nothing. Viewly was built to answer one question: why does discovering great video feel harder than it should?

Scene 01 — Project Overview

What is Viewly?

A smarter way to discover and watch video content — without the noise

Viewly is an AI-powered short-form and long-form video discovery app designed to cut through content overload. Instead of serving an endless, anxiety-inducing scroll, Viewly was designed to learn what you genuinely love — and surface only that. No clickbait. No noise. Just content that earns your attention.

Built for the generation that is tired of being manipulated by feeds, Viewly reimagines video consumption as an intentional, curated experience. The product puts the viewer back in control — of their taste, their time, and their feed.

Phase 01Discovery
Phase 02Define
Phase 03Ideate
Phase 04Design
Phase 05Validate
Project At a Glance
DesignerSharon Derik
Timeline10 Weeks
TeamSolo Project
RoleUI/UX Designer — Research, IA, Visual Design, Prototype
TypeMobile App
CategoryStreaming / Discovery
PlatformiOS & Android
ToolsFigma · FigJam · Notion
Research MethodsDiary studies · Interviews · Competitive analysis
Core Color#ED1E24 — Signal Red
Core Screens6 Key Views
PrototypeLive on Figma

"I opened YouTube at 8 PM to watch one video. It's midnight. I'm watching a stranger's apartment tour. I didn't choose this. I don't even want this."

— A real sentiment. Millions of viewers lose hours every week to feeds designed to hijack — not serve. This is the exact problem Viewly was built to end.
Scene 02 — The Problem

What was broken

Every major streaming platform optimises for time-on-app — not viewer satisfaction. These are two very different things.

Modern video apps are built to trap, not serve. The algorithm learns what keeps you watching — not what makes you feel good afterward.

🌀
Pain Point 01
Infinite Scroll Paralysis
Endless feeds create decision fatigue and anxiety. Users spend more time scrolling than actually watching — and feel guilty afterward.
Observed across all 5 audited platforms — none have an end state or session boundary
🎯
Pain Point 02
Recommendation Drift
Algorithms serve content based on engagement bait, not genuine taste. One accidental click skews the entire feed for weeks.
Cited by 11 of 14 research participants in interview debrief sessions
📺
Pain Point 03
No Intentional Viewing Mode
There's no way to say "I have 20 minutes, show me exactly what's worth it." Platforms want you to stay longer — not respect your time.
Absent in all 5 competitive audit platforms — Netflix, YouTube, TikTok, Prime, Mubi
😵
Pain Point 04
Content Overload Without Context
Tens of thousands of new videos uploaded daily. Without curation or quality signals, the viewer navigates a firehose with no filter.
Reported on 4+ of 7 days in diary studies — "couldn't find anything to watch"
68%
of viewers report feeling unsatisfied after a video session
Statista / GWI Digital Media Report, 2024
2.4h
average daily video consumption — most of it passive and unintended
DataReportal Global Digital Overview, 2024
41%
say they struggle to find content they actually want to watch
Deloitte Digital Media Trends Survey, 2023
40B+
hours of video watched daily on mobile globally — the scale of the problem
Cisco Visual Networking Index / Ericsson Mobility Report, 2024
Act IIScene 02 of 07
Understanding the Viewer

Before a single wireframe existed, the work was listening. Not to trends. Not to competitors. To the person who opens a video app at the end of a long day — hoping to be rewarded for it.

Scene 03 — Research & Discovery

Listening Before Designing

14 research participants across diary studies, interviews, and competitive analysis — understanding how people actually experience video, not how platforms assume they do

Research Participant Context — 14 Participants Total
Diary Studies8 participants, 7 days each — real viewing behaviour vs. stated intention logged daily
Interviews14 semi-structured sessions, 35–50 min — emotional experience of discovery, frustration, guilt, satisfaction
WhoUrban professionals aged 22–34, daily mobile video viewers, Bengaluru · Mumbai · Delhi
Platforms AuditedYouTube, TikTok, Instagram Reels, Netflix, Mubi — discovery, UX, and recommendation patterns
Research Methods Used
Competitive analysis of YouTube, TikTok, Instagram Reels, Netflix and Mubi — across discovery, UX, and recommendation patterns
7-day diary studies tracking real viewing behaviour — what participants watched vs. what they intended to watch, logged daily
User interviews exploring the emotional experience of content discovery: excitement, frustration, guilt, satisfaction
Heuristic review of onboarding and preference-setting flows across five leading video apps
Card sorting and mental model mapping to understand how viewers categorise content quality and intent
Key Research Findings — From 14 Participants
Intention matters — participants who set a time or mood intention before opening a video app reported consistently higher satisfaction. Based on diary study debrief scoring across 8 participants, the average satisfaction difference was ~62% — directionally strong, not a statistically validated figure. "If I know I'm watching for 20 minutes before bed, I actually enjoy it. When I just open my phone, I lose an hour and feel nothing."— Diary Study Participant 04 · Bengaluru · 28
Trust in algorithms is collapsing — "I don't trust what it recommends anymore" was the most common unsolicited comment, across 11 of 14 sessions. "The recommendations used to feel exciting. Now they feel like the algorithm is trying to keep me dumb."— Interview 09 · Bengaluru · 31
Time awareness is broken — no current app tells users how long a curated queue will take to watch. All 14 participants had no reliable way to gauge a session length before starting. "There's no moment where I decided to spend two hours there. I just look up and it's gone."— Interview 02 · Mumbai · 26
Quality beats quantity — participants preferred 3–5 strong recommendations over an endless mediocre feed. 12 of 14 stated this explicitly. "I just want to watch something good for 20 minutes and feel like it was worth it. Why is that so hard?"— Interview 11 · Delhi · 24
Mood is a powerful input — all 14 participants described consuming very differently on a Tuesday morning vs a Saturday evening, but no platform currently asks for this. "I watch completely different things depending on how tired I am. The app never knows."— Diary Study Participant 07 · Delhi · 29
"

I don't even remember opening Instagram. I just look up and it's been 45 minutes. There's no moment where I decided to do that.

— Priya, 26 · Content Editor · Mumbai · Interview 03
"

The recommendations used to feel exciting. Now they feel like the algorithm is trying to keep me dumb. I want something that respects me.

— Arjun, 31 · Software Engineer · Bengaluru · Interview 09
"

I just want to watch something good for 20 minutes and feel like it was worth it. That's it. Why is that so hard to find?

— Meera, 24 · UX Researcher · Delhi · Interview 11
Act IIIScene 03 of 07
Meeting the User

Research data becomes design direction only when you put a human face on it. Meet Rahul — the person Viewly was designed for. He is not an edge case. He is the mainstream.

Scope note: Research identified three user segments — the Conscious Viewer (Rahul), the Passive Scroller, and the Niche Enthusiast. Rahul was selected as the primary design target because he represents the hardest adoption case: high expectations, low trust in current platforms, and most indicative of product-market fit if won over.
Scene 04 — User Persona

Rahul, The Conscious Viewer

A composite persona built from 14 research participants — representing the user Viewly must delight, retain, and empower

🎬
Rahul
Product Manager, 28
📍 Bengaluru, India

Rahul watches video content every day — but increasingly feels like the platforms are watching him back. He values his time, curates his reading list carefully, and is frustrated that the same intentionality doesn't exist for video.

CuriousTime-consciousTaste-drivenFatigued by feedsQuality > quantity
Grounded in Research — 14 Participants
"I curate my reading list, my podcasts, my newsletters — but video is still just whatever the algorithm throws at me. That's backwards." — Interview 06 · Bengaluru · 29 · grounded Rahul's curation mindset
"I've saved hundreds of videos to watch later. I never go back. The list just gets longer and more overwhelming." — Diary Study 03 · Mumbai · 30 · grounded the 'saves but never returns' behaviour
"One wrong click and my feed was broken for a week. I watched a conspiracy theory video for 10 seconds." — Interview 12 · Bengaluru · 27 · grounded the recommendation drift frustration
Goals
Watch content that genuinely interests him — not content that traps him
Feel good after a viewing session, not guilty about wasted time
Discover niche creators his main feeds never surface
Frustrations
Algorithm drift — one wrong click changes his feed for weeks
No way to tell the platform what he actually wants to see
Spending more time deciding what to watch than actually watching
Behaviours
Watches primarily on mobile during commute and pre-sleep
Actively curates newsletters and podcasts — wants same for video
Often saves content to watch later but rarely returns to it
Needs from Viewly
A feed that earns trust through transparency, not manipulation
Time-aware queues: "show me the best 30 minutes of content"
An easy way to tell the app what he actually thinks — not just what he clicks
Scene 04b — Empathy Map

Inside Rahul's Head

What he thinks, feels, says and does — and where the most design-critical pain lives

👁️
Sees
An infinite, noisy scroll with no clear quality signal
Thumbnails designed to trigger curiosity, not inform
Hours of content he doesn't actually want to watch
👂
Hears
Friends complaining about the same feed manipulation
"Just one more video" — his own brain, repeatedly
Push notifications interrupting every focused moment
💭
Thinks & Feels
Mild guilt after long, unplanned watching sessions
Distrust of recommendations that feel random
Desire for a platform that feels like a trusted friend's recommendation
🎯
Does
Starts a video, abandons after 30 seconds, repeats cycle
Saves content to watch later but the list grows, never shrinks
Sometimes closes the app out of frustration, then reopens it 2 minutes later
😣
Pain Points
No way to set a time limit — every session is an open-ended commitment
Algorithm drift after a single misclick — no way to correct it quickly
Saves list grows but never shrinks — no curation of "watch later"
Session ends with guilt, not satisfaction — no sense of closure
Can't teach the feed without clicking more wrong content
Scene 04c — User Journey Map

The Before Journey

Mapped from 7-day diary study observations and interview synthesis across 14 participants — the moments of highest friction in Rahul's daily video experience

StageWhat Rahul DoesWhat He FeelsPain PointsOpportunity
Opening the App Unlocks phone, taps video app with no specific content in mind Mild anticipation, slight dread of the noise ahead ↓ Immediately flooded by autoplay noise with no way to set intent ↑ A calm, intentional entry state with time + mood input
Discovery Scrolls through feed, opening and abandoning videos within seconds Frustration, decision fatigue rapidly building ↓ No quality signal, same-type content, no time estimate ↑ Curated queue with total watch time shown upfront
Watching Settles on a video but autoplay fires before he's finished Partial engagement, never quite present ↓ Autoplay drags him somewhere he didn't choose ↑ Focus Mode — autoplay requires a deliberate tap
Post-Watch Checks the clock, realises it's been 90 minutes, closes the app immediately out of guilt Guilt, time-wasted feeling, mild self-reproach ↓ No signal that time was well spent — no session closure moment ↑ Session summary — time spent, quality score, what was worth it
Feedback Never visits settings, has never rated a single video, gives up on fixing the feed Resignation and growing distrust of the platform ↓ The only way to fix the algorithm is to watch more bad content ↑ One-tap post-watch rating that visibly improves the feed in real time
After Viewly — The Emotional Transformation at Each Stage
Dread + no intent Calm + stated purpose Rahul sets 25 minutes and "tired, need something easy." Viewly builds the queue before he scrolls.
Fatigue + no signal Confidence + clear choice 4 videos, 23 minutes total, each showing why it was chosen. No scrolling required.
Partial + interrupted Present + undisturbed Focus Mode removes all prompts. The next video only plays when he deliberately taps.
Guilt + clock-check Satisfaction + closure Session summary: 22 minutes, 2 videos, both rated highly. Time well spent.
Resignation + distrust Agency + visible change One tap after each video. The feed visibly improves. He trusts it more every session.
— Core Design Insight

Viewers don't hate watching video. They hate the feeling of having lost control. Viewly's job is not to compete on content volume — it's to be the only platform that makes every minute feel intentional. The design challenge is not discovery. It's trust.

Act IVScene 04 of 07
Designing the Answer

Armed with research, a clear persona, and a sharp insight — the design process began. Not with screens. With principles. What should every interaction feel like? What should the app never do?

Scene 05 — Design Process

Four Phases, One Direction

A structured design process from insight to interface — each phase building on the one before it

01
Phase 01 — Define
Principles Before Pixels
5 Core Design Principles
Intentional over infinite — every session has a beginning, middle, and end
Transparent over opaque — show the viewer why a recommendation appeared
Time-aware not time-trapping — always respect the viewer's clock
Explicit over implicit — let viewers teach the feed with real signals, not passive clicks
Satisfaction over retention — the session should end well, not never end
02
Phase 02 — Ideate
Wild Ideas, Filtered Hard
Explored multiple concepts for the discovery interface — feed-first vs queue-first vs intent-first approaches
Concept-tested 3 distinct feed structures with 8 users: infinite scroll, curated list, and time-gated queue — time-gated queue won clearly on satisfaction and perceived control
Identified "Curated Queue" model as winner — supported by research finding that intention-setting raised satisfaction
03
Phase 03 — Design
From Flow to Frame
Lo-fi wireframes for all 6 core screens — tested 2 versions of the home screen and onboarding flow before going hi-fi
Design system built from scratch — colour, type, motion, spacing
High-fidelity prototype built in Figma
04
Phase 04 — Test
Validate, Not Confirm
Moderated usability testing with 6 participants on hi-fi Figma prototype — think-aloud protocol
Task completion rate: 94% — onboarding, discovery, and playback
Identified and resolved 3 friction points across 2 rounds of iteration — detailed in usability section below
Act VScene 05 of 07
The Solution

The solution was not a feature. It was a philosophy. Viewly would be the first video app designed around the viewer's clock, not the platform's engagement metrics. Here's how that translated into product.

Scene 06 — The Solution

Designed Around Your Time

Every feature in Viewly is a direct response to a specific frustration uncovered in research

What Viewly Does Differently
⏱️
Time-Aware Curated Queues
Choose 15, 30, or 60 minutes. Viewly builds a personalised, numbered queue that fits exactly. No overrun. No decision fatigue.
Research basis: 14/14 participants had no reliable way to gauge session length before starting We considered a session-limit warning on an infinite feed — but testing showed warnings were ignored. A queue built around the time budget was the only approach that actually changed behaviour.
🧠
Transparent AI Taste Engine
Every recommendation shows exactly why it appeared — making the algorithm feel like a friend, not a manipulator.
Research basis: 11/14 said "I don't trust what it recommends anymore" — trust is broken by opacity We considered keeping the algorithm opaque to avoid overwhelming users — but the opposite was true. Seeing one reason why a video appeared immediately increased trust. Transparency is the feature.
🎭
Mood-Based Discovery
Tell Viewly how you're feeling — Curious, Relaxed, Inspired, Energised — and the feed shifts instantly.
Research basis: All 14 participants described consuming content very differently by mood — no platform currently asks for this
🔇
Focus Mode Player
One tap removes all recommendations, comments, and up-next prompts. Autoplay requires a deliberate tap. The viewer controls every transition.
Research basis: 5/6 usability participants said sidebar elements competed with the video — Focus Mode became the default Started with full controls visible as default. Testing showed 5/6 felt distracted. Made Focus Mode the default with opt-in to full controls — 6/6 preferred it immediately.
Explicit Taste Controls
Rate with nuance — "More like this", "Less of this topic". The feed visibly improves in real time.
Research basis: Participants had no way to correct a bad recommendation without watching more bad content
How It Works
01
Choose your time budget and mood
Tap 15, 30, or 60 minutes. Choose Curious, Relaxed, or Inspired. Viewly builds your numbered queue — before you scroll a single pixel.
02
Receive a numbered queue, not a feed
4–6 videos, total time shown upfront, each with a one-line reason why it was chosen. No infinite list. No mystery.
03
Watch in Focus Mode — autoplay off
The player hides all prompts by default. The next video only plays when you deliberately tap. You decide every transition.
04
Rate in one tap — watch the feed change
After each video, a single-tap rating (More / Different / Less) feeds the engine. Open the app tomorrow and see the difference.

"The design brief we set at the start: what if every session ended with the user thinking 'that was exactly what I needed' — and nothing more?"

— The founding question that drove every decision in Viewly. Not engagement. Not retention. Just that single, powerful feeling. Whether we achieved it — see the usability results below.
Act VIScene 06 of 07
The Screens Come Alive

Every screen in Viewly is a chapter in Rahul's story. These aren't just screens. They're proof that design can give time back to people.

Scene 07 — Key Features

Six screens, one mission

Each feature is a surgical answer to a real frustration — not a feature added for feature's sake

Feature 01
🌅
Intentional Onboarding
A taste-calibration flow that takes 90 seconds and immediately produces a personalised feed. Trust before time.
Feature 02
⏱️
Time-Bound Queue
Set your available time, choose your mood, and receive a curated watchlist that respects your schedule. No overshoot. Ever.
Feature 03
🔍
Mood-Based Discovery
Contextual discovery modes — Curious, Relaxed, Inspired, Energised — that shift the entire feed tone instantly.
Feature 04
🎬
Focus Mode Player
Full-screen, distraction-free playback. Autoplay requires a tap. The viewer decides everything.
Feature 05
✏️
Explicit Taste Feedback
Rich, nuanced post-watch rating system. Granular signals that visibly improve the engine within days.
Feature 06
📊
Viewing Insights Dashboard
Weekly digest of what you watched, how long, and what you rated highest. A mirror without judgement.
Scene 08 — UI Highlights

Screens that respect you

Six core views — each tied to a specific moment in Rahul's journey and a user need uncovered in research

Design Principles for This Screen Set
Every screen shows you what you're committing to before you commit — time, content count, and reason are always visible upfront
No screen triggers autoplay or a next action without a deliberate tap from the viewer
Time remaining in the current queue is always visible — the session always has a clear end
📱Onboarding
🏠Home Queue
🔍My List
🎬Focus Player
📚Watchlist
📊Insights
Viewly — Onboarding & Taste Calibration
Screen 01
Onboarding & Taste Setup

An immersive full-screen content preview during onboarding — showing users the quality of content they can expect. Genre preferences, mood inputs, and time habits collected across a short visual flow before a single recommendation is served.

Rahul: "I want something that earns trust before asking me to use it." — Onboarding establishes the Viewly promise before a single video is watched. Design decision: Early version opened with a preference form before showing any content. Testing showed users felt "interrogated." Reversed it — show a content preview first, collect preferences second. Trust increased immediately.
Viewly — Home Curated Queue
Screen 02
Home — Curated Queue

The Viewly home screen with category tabs — Movies, Web Series, TV Shows, Sports — and AI-curated content carousels below. The header keeps the interface purposeful rather than overwhelming.

Rahul: "Show me the best 30 minutes of content" — this screen is built entirely around that ask. Design decision: Total queue time displayed above the list was the single most impactful change in the project. 6/6 participants described feeling "in control" when they saw it — vs "overwhelmed" with the infinite scroll version.
Viewly — My List / Mood-Based Discovery
Screen 03
My List & Discovery

The My List screen with category filter pills — All Categories, Movie, TV Series — letting users quickly switch context. Content cards show rating badges in the corner, giving instant quality signals. Clean back navigation keeps the interface frictionless.

Rahul: "I've saved hundreds of videos. The list just gets longer and more overwhelming." — this screen makes that list usable. Design decision: Research showed saved lists were a major pain point — content was added but never revisited. Adding category filters and quality ratings transformed the list from an archive into an active queue.
Viewly — Focus Mode Player
Screen 04
Focus Mode Player

Full-screen immersive playback with distraction-free UI — all recommendations and up-next prompts hidden by default. Playback controls appear only on tap. Autoplay requires a conscious choice — the viewer stays in full control.

Rahul: "I settle on a video but get dragged somewhere I didn't choose." — Focus Mode breaks that pattern entirely. Design decision: Started with full controls visible — 5/6 usability participants felt distracted. Made Focus Mode the default with all elements hidden. 6/6 immediately preferred it. "That's how it should always work."
Viewly — Watchlist & Continue Watching
Screen 05
Watchlist & Continue Watching

Saved favourites and in-progress content in a clean, scannable layout sorted by recency. Each card shows rating and progress at a glance. The most relevant content always surfaces first, making it effortless to pick up where you left off.

Rahul: "I want to pick up exactly where I left off — without scrolling through everything I've ever saved." Design decision: Added a "Continue Watching" section pinned above saved items — testing showed users always looked there first. Separating active sessions from passive saves reduced time-to-resume significantly.
Viewly — Viewing Insights Dashboard
Screen 06
Viewing Insights Dashboard

A weekly digest of total watch time, top-rated content, genre breakdown, and quality score — radical transparency as a design feature. Your watching habits reflected clearly and without judgement, helping you stay intentional about your viewing time.

Rahul: "I want to feel like the time I spent was deliberate — not something that happened to me." — this screen makes that visible. Design decision: The Insights screen was the most contested feature in testing — "will users actually want to see this?" Research said yes: 12/14 said knowing their stats would make them more intentional. Transparency is the motivation mechanism.
Scene 09 — Brand Identity

Logo & Visual Voice

A bold identity built around the signal red play-arrow that says — this one is worth your time

Viewly Logo Mark

The Viewly logo is built on a simple truth: a play button is the most recognised symbol in digital culture. The triangular outline mark — thick stroked, slightly tilted — communicates instant action, confident taste, and forward motion. The signal red makes it unmissable and memorable across every surface.

Viewly Logo
Viewly
Smart Video Discovery · 2025
Viewly
Viewly
Viewly
Brand Philosophy

Every visual decision in Viewly is an editorial statement. The dark backgrounds frame content like a cinema. Signal Red (#ED1E24) is used only where action is possible — a visual language that says "this is what matters". The Poppins typeface gives the brand its bold, modern, geometric confidence.

Viewly Colour System
App Typography — Poppins
Smart Discovery
for every mood.
Poppins brings geometric precision and modern warmth to Viewly's UI — readable at every scale, confident in display sizes.
Light 300 Regular 400 SemiBold 600 Bold 700 ExtraBold 800
Scene 09b — Visual Identity System

Colour, Type & Motion

Every visual decision codified — the design language that makes Viewly feel like a single, unmistakable product

Colour Palette
Void#07080F · Primary BG
Deep#0C0D18 · Surface
Lift#121322 · Elevated
Signal#ED1E24 · Brand Red
Active#FF3C3C · Interactive
Light#FF7070 · Accent
Cream#F5F0EF · Text
Ink 8080% · Body
Ink 4646% · Muted
Red Tint28% · Borders
Typography System
Poppins — App UI / Headlines Smart
Discovery.
Usage — All UI headings, navigation, buttons, app text Weights — 300 Light, 400 Regular, 600 SemiBold, 800 ExtraBold Style — Geometric, clean, confident Letter-spacing — –0.025em to 0em
Poppins — Body & Interface Copy "Find exactly what you want
to watch — in under 30 seconds."
Curated for your time.
Usage — Body copy, descriptions, UI labels, captions Weights — 400 Regular, 600 SemiBold Style — Clean, highly legible at small sizes Line-height — 1.6 to 1.9
DM Mono — System / Metadata SCENE 01 — OVERVIEW
30 MIN · CURATED QUEUE
UI/UX · STREAMING · DISCOVERY
Usage — Labels, metadata, tags, timestamps, code Weights — 300 Light, 400 Regular, 500 Medium Style — Uppercase + letter-spacing .08–.22em Line-height — 1.6 to 2.0
Motion & Design Tokens
Ease — Cinematic
cubic-bezier(.16,1,.3,1)
Used for content loading and transitions. Smooth, high-end feel inspired by native video apps.
Ease — Standard
cubic-bezier(.4,0,.2,1)
Used for interactive element state changes — buttons, tabs, modal entrances.
Ease — Gentle
ease-in-out
Used for ambient animations, skeleton loaders, and ambient background elements.
Duration Scale
80ms → 400ms
Micro-feedback at 80ms. Page transitions at 280ms. Full modal at 400ms.
Scene 09c — Competitive Landscape

Where does Viewly fit?

Mapping the competitive landscape — how Viewly is positioned against the dominant streaming platforms in India and globally

Feature / Dimension Netflix Amazon Prime Zee5 Sony LIV Viewly ✦
Primary Content TypeLong-form originalsMovies + OriginalsHindi + RegionalSports + HindiShort + Long form
Discovery Model↓ Algorithm-driven↓ Algorithm-driven↓ Category browse↓ Category browse↑ AI + Mood-based
Time-Aware Viewing✗ None✗ None✗ None✗ None✓ Core feature
Mood-Based Feed✗ No✗ No✗ No✗ No✓ Yes
Transparent Recommendations✗ Black box✗ Black box✗ Black box✗ Black box✓ Fully visible
Focus / Distraction-Free Mode✗ No✗ No✗ No✗ No✓ Yes
Explicit Taste ControlsPartial — thumbs only✗ Minimal✗ None✗ None✓ Rich + granular
Autoplay DefaultON — opt-outON — opt-outON — opt-outON — opt-outOFF — opt-in
Viewing Insights✗ Not shown✗ Not shown✗ Not shown✗ Not shown✓ Weekly digest
Primary Design GoalRetentionRetentionEngagementEngagementSatisfaction
NETFLIX
Strengths
World-class original content library, trusted brand globally
Best-in-class UI polish and performance on all devices
Strong personalisation through implicit user signals
Weaknesses vs Viewly
No time-awareness; autoplay enabled by default
Opaque algorithm — users can't understand why content is shown
No mood-based discovery; no explicit rating system
Viewly Advantage
Where Netflix optimises for time-in-app, Viewly optimises for viewer satisfaction — a fundamentally different goal.
PRIME VIDEO
Strengths
Bundled with Prime — massive reach and subscriber base in India
Strong mix of Hollywood, Bollywood and Indian originals
X-Ray feature adds contextual metadata during viewing
Weaknesses vs Viewly
Discovery is cluttered; browsing feels like a marketplace
Recommendations influenced by purchase and rental behaviour
No focus mode, mood filters, or time-aware queuing
Viewly Advantage
Viewly offers a focused discovery experience uncorrupted by e-commerce or upsell mechanics.
ZEE5
Strengths
Dominant in regional Indian content — strong Tier 2/3 city reach
Large back-catalogue in Hindi, Bengali, Tamil, Telugu
Live TV integration adds utility beyond on-demand streaming
Weaknesses vs Viewly
UI is dated; discovery feels like a content directory
Minimal personalisation depth — category browsing as primary model
No mood, time, or intentional viewing features whatsoever
Viewly Advantage
Viewly's AI-first discovery is miles ahead — Zee5 users browse; Viewly users are served exactly what they need.
SONY LIV
Strengths
Strong sports rights portfolio — IPL, cricket, football coverage
Premium Sony entertainment and Hollywood content pipeline
Growing originals slate with quality productions
Weaknesses vs Viewly
Sports-heavy identity limits perception as a discovery platform
Generic recommendation engine with no context or mood awareness
No intentional viewing tools, focus mode, or session design
Viewly Advantage
Viewly owns the "non-sports, quality discovery" space that Sony LIV has no clear answer for.
Positioning Opportunity

The White Space
Nobody Owns

Every competitor in this space is optimising for engagement metrics: time on platform, scroll depth, autoplay continuation. Not one of them has built their product around viewer satisfaction.

That's Viewly's moat. The positioning is clear: the first streaming experience designed to make you feel good about how you spent your time — not guilty about how much of it you lost.

Viewly's Unique Position
🎯
Satisfaction over Retention
Built to end well, not to never end. The only app designed around your clock.
🔍
Transparent AI Discovery
Every competitor hides their algorithm. Viewly shows it — earning trust by design.
🧠
Context-Aware Experience
Mood and time inputs that no competitor offers — making every session feel personal.
📊
Viewer Insight Dashboard
Radical transparency: your watching habits reflected back with honesty.
Act VIIScene 07 of 07
The World After

Rahul opens Viewly. He has 25 minutes. He tells it. He tells it he's tired. The queue appears — five videos, 23 minutes total, every one chosen because of his taste. He watches two. He closes the app. He feels good about it.

Scene 10 — Prototype Validation Results

Numbers that validated the design.

From 6 moderated usability sessions on the Figma prototype — design validation results, not live product metrics

94%
Task completion rate across onboarding, discovery, and playback flows
100%
Comprehension of "why recommended" feature after moving it above the title in iteration 2
3
Friction points identified and fully resolved across 2 rounds of testing
6/6
Participants preferred Focus Mode as default — "that's how it should always work"

"I opened Viewly with 30 minutes. I watched exactly what I wanted. I closed it feeling like I'd given myself a gift — not lost time I'll never get back."

— That's the moment Viewly was designed to create. Every decision, every pixel, every interaction — for this one feeling.
Scene 11 — Learnings & Reflections

What this project taught me

How Viewly changed the way I think about digital design — and what I'd carry into every project after this

01
The Anti-Pattern List Is as Powerful as the Feature List
Defining what Viewly would never do was as creatively valuable as defining what it would. Constraints clarify intent.
This led directly to making Focus Mode the default and requiring an explicit tap for every autoplay transition — the most-loved feature in usability testing.
02
Trust Is the Real Product
Viewly doesn't compete with YouTube on content. It competes on relationship. Every design decision is a trust deposit.
The transparency feature — showing why each video was recommended — was the single decision that most directly addressed the research finding that "trust in algorithms is collapsing."
03
Time Awareness Should Be Core UX
No major app tells users how long they'll spend before they start. Adding time-awareness to the entry state changed everything downstream.
Displaying total queue time above the list was the single highest-impact change in the project — 6/6 felt "in control" immediately vs "overwhelmed" with infinite scroll.
04
Mood Is an Underused UX Input
The same person wants radically different content on a Wednesday commute vs a Sunday morning. Mood-awareness was the biggest design differentiator.
The mood selector was added directly from the finding that all 14 participants described consuming content differently by mood — but no platform currently asks for this.
05
Explicit Signals Beat Passive Ones
Watch time and clicks are the wrong data to optimise for. Frictionless nuanced feedback is the only way to build a feed users trust.
This grounded the one-tap post-watch rating system — matching the research finding that participants had no way to correct bad recommendations without watching more bad content.
06
The Best Design Removes a Feeling, Not Just a Step
The biggest win in Viewly was eliminating the guilt viewers feel after long sessions. Design that addresses emotional states is what people remember.
This shaped the decision to build the Viewing Insights Dashboard as a launch feature — making post-session reflection visible was the mechanism for changing how the experience felt over time.
Next Project
Spendly.

AI-powered personal finance app — a research-first design story about giving people control of their money.

— Open to opportunities
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Available for freelance projects, full-time roles, and meaningful collaborations. Research-first thinking, bold visual execution, and a genuine love for solving real human problems through design.