Intent Matching and Profile Verification to Improve Shaadi Connections
Turning Shaadi.com matches into real conversations through declared intent and verified identity
✳The problem they went after
Response rates on Shaadi.com stay low because two things are missing from profiles. Intent is invisible, so someone serious about a relationship timeline cannot filter out casual or misaligned matches. Authenticity is unproven, so worry about fake profiles holds people back from sending a first message even when the match looks compatible on paper.
✳What they actually did
Rishab prioritised four solutions with RICE. Intent Declaration During Onboarding and a Work and Corporate Verification Badge tie at 13.5. Intent-Based Match Filtering for Premium users and Enhanced Profile Verification through government ID and live selfie follow at 9 each. Stacked, they form a layered trust and intent system: signal seriousness, filter matches on it, then back it with professional and government-issued credentials. He also names the pitfalls, from socially desirable answer inflation to badge pressure on women and KYC friction driving onboarding abandonment.
✳What you can take from it
Worth stealing
- Guardrail metric catches superficial replies
- Non-generic reply defined as the success event
- Four RICE-scored trust and intent solutions
- Pitfalls named: answer inflation, badge pressure, KYC friction
Read this if
PMs on marketplaces where trust and stated intent drive match quality
The transferable bitPrimary is meaningful response rate for premium users, defined as the share of matches getting a non-generic reply inside a set window. Intent clarity score and verified profile engagement sit underneath, and a guardrail on conversation drop-off catches the case where replies go up but conversations still die.
✳The submission itself
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