Product Management — ArogyaLens Dental Platform
Capture → AI analysis → patient report — product definition for the full dental diagnostics loop.
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Modules Specified
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Languages Defined
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Stakeholder Types
Tools & Methods
The Challenge
Dental clinics in tier-2 and tier-3 cities lack access to specialist radiologists for routine intraoral image review. ArogyaLens needed to bridge that gap — but the product had to serve two distinct and sometimes conflicting user groups simultaneously: dental clinic staff managing patient workflows (needing batch processing, calendar-based scheduling, and report history) and patients wanting to understand their own diagnostics (needing plain-language results and easy download access). The monetisation model (premium report unlocks via Razorpay) required careful UX decisions about what was free vs. paid, and where the paywall was placed in the patient journey to maximise conversion without creating friction before value was demonstrated.
Product Requirements Document
PRODUCT REQUIREMENTS DOCUMENT
ArogyaLens — Dental Diagnostics Platform
Varun Cumbanungam · AI Product Manager · Oralens HealthCare (2023)
Doc ID
AGL-PRD-V1
Status
Approved
Owner
Varun C.
Date
2023
Version
1.0
Problem Statement
Tier-2 dental clinics lack specialist radiologists. The platform must enable mobile capture → AI analysis → structured PDF report without specialist involvement.
Primary Users
Dental Staff
Batch upload, scheduling, report management
Patient
AI results in plain language, PDF download
Clinic Admin
User management, Razorpay billing
Healthcare Payor
Report API for insurance workflows
Core Features
- Hospital Management — OPD/IPD, bed management, HR/payroll, machine tracking
- AI Oral Screening — AWS Rekognition + SentiSight object detection
- Flutter mobile — intraoral capture with offline sync
- Multi-language — 13 languages including Hindi, Tamil, Arabic
- Pharmacy & Lab integration — prescription workflows, diagnostic lab orders
- Telemedicine — text, audio, video consultations
- E-commerce — role-based product catalogs with inventory management
- Razorpay — tiered premium report monetisation
Key Acceptance Criteria
- AC-1Capture → Rekognition analysis under 10s
- AC-2PDF report available for download within 30s
- AC-3Razorpay payment completes within 3 attempts
- AC-4Patient findings written at Grade 8 reading level
- AC-5Rekognition confidence threshold 80% minimum
- AC-6Next.js SSR pages indexed by Google within 14 days
Monetisation Model
- FreeBasic findings — unlocks patient engagement
- PremiumFull PDF report — Razorpay gated
- ClinicBulk report credits — monthly subscription
- APIJSON results for insurance integrations
Product Artefacts Delivered
- PRD V1 — personas, flow, monetisation model (13 sections)
- SRS — full software requirements specification
- Technology specification — architecture, security, compliance
- PDF report specification — layout, content fields
- Razorpay integration scope + webhook spec
- i18n strategy — 13-language rollout plan
CONFIDENTIAL · ArogyaLens PRD · Property of Oralens HealthCare
PRD · PDF Report Spec · Razorpay Integration · Clinic Runbook
Full PRD and supporting artefacts available upon request
Results
Full-cycle product live in pilot dental clinics with the complete journey from mobile intraoral capture to downloadable PDF diagnostic report. Razorpay monetisation enabled a tiered premium diagnostic model with measurable per-report revenue. The Next.js SSR patient portal drives organic clinic sign-ups through SEO-indexed appointment and results pages. The AI analysis pipeline (S3 → Rekognition → OpenAI-narrated findings → PDF) runs fully automated — clinicians receive structured reports without manual intervention.
Gallery & Demos
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Interested in this work?
Full architecture walkthrough and code review available during interviews.