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Product Case Study · 2026·User Research & PM discovery
ChatGPT India Voice Input Research
User research study exploring adoption barriers, acoustic friction, and comfort levels with mobile voice AI in India.
User InterviewsVoice UXMarket DiscoveryFailure Analysis
Live Software Viewport · ChatGPT India Voice Input Research
🔒https://chatgpt-voice-india-research.appWorking UI
Product Blueprint & System Architecture
RESEARCHChatGPT India Voice Input Research
Core Specification Artifacts:
Data Model & SchemaValidated entity relationships & API routes.
User Journey MapsFriction analysis & drop-off mitigation.
Evaluation BenchmarksSuccess metrics, risk matrices & guardrails.
Executive Product Breakdown
4-Pillar Spec Summary01 · The Problem
Despite mobile voice being technically fast, adoption remains low in India due to public social hesitation and fear of Hinglish errors.
02 · Product Solution
Authored a voice UX discovery report outlining acoustic confidence indicators, low-whisper modes, and multilingual switching heuristics.
03 · The PM Call / Trade-off
Identified that voice AI friction is primarily social/psychological rather than hardware — designed for visual acoustic confirmation.
04 · Outcome & Impact
Published actionable voice UX heuristics referenced in product teardowns and fellowship research logs.