Product Design
Data Design
Dashboard
Context
India’s salary transparency market is dominated by global aggregators (Glassdoor, Levels.fyi) that suffer from weak localization and unverified, polluted datasets. I partnered with the founder as the Founding Designer to architect a localized, privacy-first compensation intelligence platform from 0 to1, focusing entirely on data integrity and user trust.
Problem
Analytics and heuristic evaluations of the initial MVP revealed three critical product failures:
The Trust Deficit: Users viewed unverified data as spam. The lack of a rigorous verification system caused a complete halt in user submissions.
Data Ingestion Bottleneck: Unstructured, free-text inputs made standardizing roles and separating fixed versus variable compensation impossible, crippling the database's utility.
The 16-Second Bounce Rate: The UI hid the platform's core value, resulting in a massive 94% drop-off before users even interacted with the data.
Solution
To transform the MVP into an enterprise-grade tool, I designed:
The "Give-to-Get" Engine: A live, anonymized data preview on the landing page that hooks users instantly, gating the full database behind a mandatory, localized contribution wall.
Ephemeral Verification Flow: A frictionless submission process featuring in-memory PDF parsing to auto-fill 80% of the form while instantly redacting PII (Personally Identifiable Information), backed by a LinkedIn employment verification fallback.
Granular Intelligence Dashboard: A scalable, paginated table architecture allowing users to cross-filter by tech stack, company stage, and work arrangement, complete with visual breakdowns of 5-year equity vesting schedules.
