Associate Product Manager
Decision Machine · Pune, India
CurrentJune 2024 – Present
Market & Insights
- Benchmarked 12 competing fintech products on features, pricing, and app-store sentiment to map the competitive landscape.
- Identified a clear whitespace: Tier-2 city users underserved by existing credit-awareness tools — directly shaping the product's differentiation angle.
- Led 20+ user interviews and diary studies to surface real pain points around credit scores, loan eligibility, and savings discipline.
- Synthesized findings into actionable personas (e.g., 'First-Time Borrower', 'Aspirational Saver') used across design and engineering sprints.
Product Definition
- Authored end-to-end PRDs covering problem context, success metrics, edge cases, and acceptance criteria — keeping engineering and design aligned.
- Broke down epics into user stories with clear JTBD framing, reducing ambiguity during sprint planning.
- Ran RICE-based prioritization workshops to align stakeholders on what ships in V1 vs. what gets parked in the backlog.
- Defined MVP scope around three core flows: credit score explainer, savings nudge engine, and loan eligibility simulator.
AI / ML
- Defined product requirements and integration specs for 20+ third-party platforms — including Google Meet, Linear, HubSpot, and Stripe — translating business needs into clear API contracts for engineering.
- Owned the end-to-end product scope for AI agent workflows, writing use cases, edge case documentation, and success criteria that guided LLM feature development.
Roadmap
- Built and owned a 6-month rolling roadmap, broken into discovery, build, and validation phases per quarter.
- Delivered V1 in under 8 weeks by sequencing dependencies early and cutting low-impact features after prioritization.
- Set up a Now / Next / Later framework to communicate roadmap intent to leadership without committing to fixed dates prematurely.
- Introduced fortnightly roadmap reviews to incorporate user feedback, bug severity, and business priorities in near real-time.
Go-To-Market
- Defined target segments and crafted positioning around trust and simplicity — two attributes competitors consistently failed on in user reviews.
- Co-authored launch messaging with marketing, ensuring product copy reflected real user language gathered during interviews.
- Set up a closed beta with 200+ early users, structured onboarding flows, and tracked activation and D7 retention as leading indicators.
- Built the GTM readiness checklist covering support docs, escalation paths, analytics instrumentation, and rollback criteria.
Metrics & Impact
- Reduced early-stage churn by 22% after redesigning the onboarding flow based on drop-off data from Mixpanel.
- Improved D7 retention by 18% within 6 weeks of shipping the savings nudge engine.
- Drove a 3.2× ROI on the beta cohort by optimising the credit score explainer flow, reducing support tickets by 35%.
- Achieved 78% feature adoption on MVP core flows within the first month post-launch.
#Fintech#B2CProduct#UserResearch#PRDWriting#Mixpanel#A/BTesting#PersonalFinance#AIIntegration#ProductAnalytics
