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FinTech case study

Consumer Credit‑Matching App

Guided pre‑qualification and lender matching

Inside the build

From constraint to working system.

The product decisions, architecture, and delivery choices behind the outcome.

The challenge

What had to change

Prospective borrowers struggled to navigate product criteria and frequently applied for misaligned offers, harming conversion and trust.

Our solution

The product response

We implemented a guided flow that collects essential inputs and matches users to products using a clear, auditable decision tree.

Architecture & approach

How the system was shaped

Server-rendered pages with form validation, a rules engine for product mapping, and audit logs for compliance review.

Product scope

Key features

  • Guided intake and eligibility checks
  • Transparent rules-based matching
  • Exportable application summaries
  • Accessibility-first UI

Technical foundation

Tech stack

Next.jsTypeScriptTailwind CSS

Business impact

The outcome

Reduced misaligned applications and improved applicant experience without exposing lender relationships.

Guided pre-qualificationRules-based matching
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