Pratik Durge

Prototyping an AI-driven product discovery system that synthesizes interviews, usage data, and feedback into structured opportunity areas, reducing manual insight synthesis for PM workflows. Designed structured output frameworks that generate PRDs with feature rationale, UX flows, data model suggestions, and edge cases, improving documentation speed and clarity. Built workflows that translate product decisions into developer-ready task breakdowns, improving speed of backlog creation and sprint planning. Conducting discovery interviews with product managers to validate workflow gaps and refine solution direction.

Conducted 11+ farmer interviews to uncover workflow gaps in boundary mapping and harvest planning, directly influencing feature prioritization and UI design. Mapped end-to-end user journeys for boundary creation and satellite monitoring, improving clarity of farmer operational workflows for design and engineering teams. Designed Harvest Planner UI enhancements enabling daily harvest prediction and bulk status updates, improving operational planning visibility for enterprise users. Improved satellite imagery usability by optimizing S1 index toggle placement and introducing cloud-cover filtering, enabling clearer field decision-making. Translated field research and satellite-data workflows into structured PRDs and acceptance criteria, improving engineering alignment and reducing requirement ambiguity. Led requirements gathering for bulk upload systems and CSM tools, enabling better enterprise account visibility and support workflows.

Supported roadmap planning and feature prioritization for B2B modules. Conducted market research and competitive analysis to inform product decisions. Analyzed user feedback and product metrics to recommend feature improvements.

Led discovery and delivery of a Master Admin Data Tool automating bulk data processing, reducing manual workload by 60% and improving data accuracy. Owned requirements gathering and prioritization for AI-assisted internal workflow tools, improving operational efficiency and cross-team alignment. Designed a structured JD evaluation framework that increased ideal candidate conversion by 40%. Gamified onboarding flows, reducing onboarding time by 35% and improving early engagement. Wrote PRDs, user stories, and acceptance criteria, improving engineering clarity during sprint cycles.