Back to Portfolio Product Case Study & PRD #2
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Trustora

Transforming Local Business Reputation Through AI & Frictionless Feedback

My Role

Founder & Product Architect

Target Audience

Local SMBs (Salons, Cafes, Clinics)

Tech Stack

Next.js, Supabase, Gemini API

Part 1

Product Case Study

01. Problem Discovery

The Reputation Gap & Expensive Solutions

Small and medium businesses (SMBs) like local cafes, salons, and clinics lose up to 30% of potential customers because they lack a systematic way to collect Google reviews. Traditional review software is extremely expensive ($200+/month like Podium) or requires manual follow-ups by the business owner, which fails because customers find it annoying and time-consuming to open Google Maps and write a review.

High Cost Barrier

Legacy tools charge enterprise pricing ($200+/mo), pricing out small local store owners completely.

High Customer Friction

Manual search and typing on Google Maps takes 2+ minutes, causing users to abandon the process.

02. Product Solution

Lightweight, AI-Powered Reputation Infrastructure

Trustora provides dynamic QR codes placed directly on billing counters. When scanned, it launches a lightning-fast web app where customers leave feedback in under 8 seconds.

Dynamic Counter Stand

Instant QR scan that requires zero app downloads for the customer.

AI Bad Review Shield

Intercepts 1–3 star ratings privately, alerting owners instantly before public rants occur.

5-Star Google Direct

Redirects positive ratings straight to Google Maps with pre-written templates.

03. Execution & Architecture

Mobile-First & High Performance

Zero-Latency UI

Built using Next.js & Tailwind CSS for instant loading on budget smartphones.

Real-Time Backend

Powered by Supabase for instant database sync and owner alerts.

Auto Social Creatives

Generates marketing graphics automatically from high-rating customer reviews.

04. Impact & Metrics

Quantifiable Business Results

Friction-Free Experience

Reduced average review completion time dramatically from 2 minutes down to just 8 seconds.

1/10th Legacy Cost

Delivered enterprise-grade reputation software via a self-serve model priced at just $29/month.

Part 2

Product Requirements Document (PRD)

Documented by Kartik Gunjal | Status: Shipped / Live

PRD 01. Objective

To build an automated, AI-driven reputation management layer that helps small businesses increase their 5-star Google reviews by 300% while protecting their brand from public negative feedback through real-time feedback routing.

PRD 02. User Personas
Primary User

The Busy Store Owner (Rahul, 35)

Doesn't have time to chase customers for reviews or manage complex software. Demands a simple "set-and-forget" automation system.

End Customer

The Walk-in Customer (Priya, 24)

Impatient and busy. Willing to provide feedback only if it takes under 10 seconds and requires zero login or app downloads.

PRD 03. Core Features & User Flow

Feature A: Instant QR Counter Stand

  • Requirement: Place a physical QR code stand at the store checkout counter.
  • User Flow: Customer scans QR → Opens web app in browser instantly (No app installation needed) → Rates experience (1 to 5 stars).

Feature B: AI Sentiment Router (Core Logic)

High Rating (4–5 Stars)

System prompts user with pre-written polite review text and provides a single-click copy/redirect button straight to the business's Google Profile.

Low Rating (1–3 Stars)

System intercepts public redirect, opens a private text box ("We are sorry! What went wrong?"), and triggers an instant WhatsApp/Email alert to the store owner.