Digital Products & Software

Engineering Stability: A Three-Phase Technical Overhaul

Published On: 24 July 2025.By suman yubraj.

Engineering Stability: A Three-Phase Technical Overhaul

Upvrd App Technical Overhaul | Case Study | Auriga IT

Case Study — App Engineering & Recovery

Upvrd

Engineering Stability: A Three-Phase Technical Overhaul

How Auriga IT rescued a gamified self-growth platform from systemic collapse — eliminating 179+ bugs, cutting a 55-second API response to under 1 second, and reducing the recommendation engine error rate from 90% to zero.

About Upvrd

Upvrd is an ambitious self-growth platform designed to guide users through a gamified universe of personal and professional development. The app delivers a deeply personalised experience where users embark on narrative-driven "journeys" and test their knowledge through a multi-layered challenge system.

Its sophisticated architecture was built on three core pillars:

Personalised User Journey

An immersive, story-driven experience guiding users through "Life Worlds" and "Masteries" based on a detailed onboarding assessment.

Gamified In-App Economy

Three in-app currencies — Wisdom, Compassion, and Energy — earned and spent through a complex rules-based system tied to every user interaction.

Recommendation Engine

A rules-based engine designed to personalise a vast content library, ensure content novelty, and keep users engaged with always-relevant suggestions.

The Challenge: Systemic Instability at Launch

While Upvrd's vision was ambitious, its initial launch was plagued by systemic instability that paralysed the application and created a deeply fractured user experience. The platform's potential was locked behind critical technical failures across two dimensions.

Critical Functional Failures

179+ Documented Bugs — Core user flows were completely broken. The entire OTP verification flow was non-functional, blocking all new sign-ups and preventing any user acquisition.
Core Feature Paralysis — Global search, user profile management, and "My Highlights" were all inoperable — failing to return results or save user data entirely.
Data Integrity Failures — The app failed to track user progress or update coin balances in real time, eroding trust in the core gamification system the entire product was built around.

Crippling Performance Bottlenecks

~55-Second API Response — A key data-fetching API had an average response time of 54.8 seconds, causing the app to freeze completely and become unresponsive for users.
90% API Error Rate — The core recommendation engine API had a 90% error rate, making the personalised homepage completely unreliable and destroying the product's primary value proposition.

179+

Documented bugs at launch

55s

Average API response time

90%

Recommendation engine error rate

120+

Critical & high-severity bugs

The Solution: A Strategic Three-Phase Overhaul

Auriga IT deployed a methodical recovery strategy to address the root causes of instability and transform Upvrd into a market-ready application. Each phase built on the last — moving from emergency triage through architectural improvement to long-term process refinement.

Phase 1

Triage and Stabilisation

Our team immediately tackled the platform's critical failures — systematically eliminating the 179+ bug backlog by repairing the broken OTP authentication flow, restoring all core user features (search, profile, highlights), and patching broken APIs to stabilise the entire user journey end-to-end.

Upvrd Phase 1 triage and bug stabilisation — screenshot showing resolved authentication and core feature fixes

Phase 1 — Triage & Stabilisation

Phase 2

Performance Re-architecture

With baseline stability restored, we re-architected the most inefficient backend services. We implemented API pagination and database query optimisation to eliminate the 54.8-second response time. We also fortified the recommendation engine with robust error handling and intelligent fallback mechanisms — ensuring it always returned content instead of crashing, bringing the error rate from 90% to 0%.

Phase 3

Process Refinement

The final phase embedded long-term quality practices into Upvrd's development workflow. This included structured QA processes, regression testing protocols, code review standards, and performance monitoring — ensuring the platform would maintain its restored stability and continue improving as new features were shipped.

Upvrd Phase 2 and 3 performance re-architecture — API optimisation results and recommendation engine after intervention

Phase 2 & 3 — Re-architecture & Refinement

Before & After: The Results

Metric	Before Intervention	After Intervention
Book Data API Response Time	~55 seconds	< 1 second
Recommendation Engine Error Rate	90%	0%
Journey Module Error Rate	25%	0%
Critical & High-Severity Bugs	> 120	0

The Impact: From Technical Rescue to Market-Ready

55x Faster API Performance

A 54.8-second API response was reduced to under 1 second through pagination and query optimisation — eliminating app freezes entirely.

Zero Error Rate

The recommendation engine went from a 90% error rate to 0% — making the personalised homepage fully reliable and restoring the product's core value proposition.

179+ Bugs Resolved

All critical and high-severity bugs were eliminated — including the broken OTP flow that had completely blocked user sign-ups since launch.

Market-Ready Product

The strategic intervention transformed an unstable, commercially unviable application into a high-performance product ready for user acquisition and growth.

Is Your App Holding Back Your Product?

Whether you're dealing with critical bugs, performance bottlenecks, or a failing architecture — Auriga IT specialises in systematic technical recovery and re-architecture that transforms unstable applications into market-ready products.

Talk to Auriga IT