Inspiration
Gap in Research: Traditional surveys lack human context and empathy. We wanted to capture raw, authentic consumer emotion—"video empathy"—at scale to quickly analyze true customer satisfaction and dissatisfaction.
What it does
- For Consumers: It offers a simple mobile app where users submit up to 120 seconds of video feedback about products in exchange for financial incentives, with higher rewards for verified purchasers (by uploading a bill). It features an intuitive User Wallet & Incentive System for easy tracking and UPI payouts.
- For Brands (via the Admin Dashboard): It provides a powerful internal system to view, filter, approve, and tag submitted videos by sentiment, theme, and category. This rapid analysis turns raw consumer emotion into structured data, allowing brands to quickly identify customer delight and pain points and generate fast, data-backed reports for product improvement. ## How we built it Stack: Built on React Native (mobile app) with a Exppress.Js backend. Uses Google Cloud for scalable video storage and Twilio for OTP. A dedicated internal Admin Dashboard manages approvals, tagging, and payout requests. ## Challenges we ran into
- Video Optimization: Ensuring stable, high-quality video uploads across poor networks without compromising file size.
- Tagging Speed: Designing the Admin UI for rapid, accurate manual sentiment and theme tagging, which is crucial for quick reporting. ## Accomplishments that we're proud of
- Tiered Incentives: Successfully rewarding users more for providing verified purchase proof (receipts), which boosts data reliability.
- End-to-End Payout: A functional User Wallet integrated with UPI for immediate, real-world incentive payouts. -Rapid Insight Cycle: Creating a pipeline that gets raw video data approved and tagged into a structured report in minutes, not weeks. ## What we learned We learned that simple, fast UX (120-second limit, quick wallet updates) is essential for collecting high-quality, genuine feedback. Success hinges on a robust and fast Admin Tagging Dashboard. ## What's next for VerveView
- ML Integration: Add ML for automatic video transcription and proposed sentiment tagging to dramatically cut analysis time.
- Brand Portal: Build a self-service client dashboard for brands to launch and manage their own targeted campaigns.
- Automated Reporting: Develop a feature to automatically generate branded PDF/CSV reports from filtered video data and aggregated sentiment scores.
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