Designing pseudo-anonymous dating for Gen Z’s trust crisis
Metric
users in first 2 months
10KAnirudh
retention rate
+40%
paid conversion
+32%
Product Design Lead · Chance
Chance · Product Design
7 Months (Intermittent), Feb 2022 - Apr 2023
02 The 30-second version
The 30-second version
The challenge
Every dating app optimizes for engagement: more swipes, more matches, more time in-app. But Gen Z users reported feeling exposed, exhausted, and unsafe. In India, 54% also feared being recognized by family members. The market needed an app that earned trust before asking for exposure.
What I did
A privacy-first interaction model. Users start anonymous, build connections through personality prompts and avatars, then request mutual identity reveal when both sides feel ready. The scary part (showing your face) became something earned, not demanded.
My role
Product Design Lead, 0→1
Owned research, flows, prototyping, and UI
User interviews with active and lapsed dating app users
7-month intermittent build, launched April 2023
The team
Anirudh PalaskarProduct Design Lead
Abhishek JainProduct Designer
Rishi KatariaProduct Team
Rajeet ParekhFounder
ShashikantDev
The key insight
Users didn't leave dating apps because they couldn't find matches. They left because they felt overexposed from the first swipe. This meant designing identity protection as the core interaction model, not a setting buried in menus.
Anirudh
The constraints
PrivacyUsers wanted to explore without their face or identity being judged first.
SafetyFamily discovery and unwanted exposure were real fears, especially in Tier 2 cities.
ResourcesLimited dev capacity and tight timelines meant every feature had to earn its place.
03 Key decisions
Key decisions
01
Avatars before photos
The easy path was uploading a selfie during signup. But 54% of users in our interviews feared being recognized by family. We designed 200+ avatar combinations so users could represent themselves without exposing their identity. Signups increased because the emotional barrier to entry dropped to zero.
02
Personality prompts over profile cards
Every other app opens with a grid of faces. We replaced that with question prompts ("What's your perfect Sunday?", "What's a small thing you love?"). Users liked based on answers, not appearance. This changed the matching criteria from looks to compatibility and set the tone for the whole experience.
03
Mutual reveal, not unilateral exposure
When users wanted to see someone's face, they had to request a reveal. The other person had to accept. Neither side could see the photo until both agreed. This removed the asymmetric power dynamic of traditional dating apps and gave both users the same level of control. Paid conversion jumped 32% because users trusted the system.
The deep dive
04 Context
Context
Most dating apps expose users’ personal information before meaningful connections are established, creating discomfort and safety concerns.
The current dating landscape prioritizes superficial attraction over genuine compatibility.
Most Indian dating platforms sit at opposite ends: either hyper-casual, looks-focused or rigid, marriage-oriented matchmakers.
The problemBuild authentic connections through personality matching while prioritizing user privacy and safety.
Where it hurt
Lack of PrivacyUsers’ photos and identities shared prematurely. No option to manage who views profiles.
Appearance-First MarketApps prioritize looks, ignore interests/values. Profiles judged almost entirely on appearance.
Fear of Family DiscoveryAnxiety in conservative cultures about being recognized by family members.
Swiping Without PurposeEndless swiping creates pessimism and dating app fatigue.
05 Research
Research
Competitive Analysis
Photos keep users engaged, but personalized matchmaking remains limited.
Swiping replaced by scrolling helps users slow down and enhances quality browsing.
Interesting/funny answered questions aid conversation initiation.
Firsthand usage of competing dating appsAnalysis of hundreds of user reviews
User Interviews
98% said safety features like photo verification are important.
73% stated mutual friends would make them feel secure enough to meet.
54% concerned about being recognized by family members.
43% don’t meet matches because fear of rejection stops them.
I want to know someone before they know what I look like.
Interviews with current and former dating app usersTwo groups: active users and those who quit
Market Validation
India’s average age is 28, one of the world’s youngest populations.
Tier 2 cities witnessed 300% growth compared to metros in 2021.
Over 50% of new users and 42% of revenue from tier 2 and 3 cities.
India demographic and market landscape analysis
06 Design pillars
Design pillars
01Privacy-First IdentityUsers control what’s visible at each stage of interaction.
02Personality Over AppearanceMatch based on interests, values, and prompts, not photos.
03Earned TrustProgressive reveal makes the scary part (showing your face) feel earned, not demanded.
07 User flows
User flows
Anonymous BrowsingI want to explore without being judged on appearance.
1Choose avatar from 200+ combinations
2Fill personality prompts
3Browse anonymous cards
4Like based on personality
Progressive RevealI want to feel safe before showing who I am.
1Match on personality
2Chat anonymously
3Request profile reveal (mutual)
4Continue with full identity
08 Gallery
Gallery
09 Reflections
Reflections
Research Without Resources
Tight timelines meant relying on existing research, design critiques, and quick user tests instead of lengthy studies.
Designing Within Constraints
Limited dev capacity required prioritizing implementable features over ambitious, time-intensive ideas.
Achievement Despite Limits
Successfully launching and validating the product with minimal resources was a significant accomplishment.