Credit Policy Run Logs

Turning Automated Decisions into Clear, Actionable Answers

Noble’s Policy Builder enables businesses to generate automated credit decisions, but users lacked visibility into why those decisions occurred.

Company

Noble (Fintech)

Role

UX UI design, UX flows & user scenarios, prototyping, design system contributions

Team

CEO, CPO, engineer

Deliverables

Registration flow for web and mobile

Overview

Simplifying how companies make financial decisions

Noble simplifies how companies make financial decisions. It automates onboarding, underwriting, and monitoring in one unified platform.


At Noble, policy outcomes were technically correct, but operationally opaque. Underwriters could see decisions, but not understand or act on them. This created a hidden dependency on engineering and slowed critical business workflows.


This redesign transformed a static, “view-only” experience into an interactive, diagnostic tool giving underwriters clear insight into policy outcomes, errors, and next steps.

Key Impact

I designed a dynamic results interface that exposes both decision outcomes and the logic behind them.


  1. Increased transparency into automated decisions with added visibility to conditional pass/fail credit checks and details to onboarding statuses (Approved, Pending Review, Rejected, Error)

  2. Enabled self-serve troubleshooting by surfacing root causes of failures and reducing time spent interpreting the results 

  3. Consolidated complex data into a single interface for auditing and providing access to underlying logic (e.g., JSON) for advanced users

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Key Design Move

A side panel overlay allows users to explore detailed data without losing context — keeping the main results view intact while enabling deep inspection.

Core Problem

Bringing Clarity to System Decisions

The original experience surfaced results, but not reasoning. Users couldn’t:

  • Understand why a policy failed or stalled

  • Investigate “Pending Review” decisions

  • Diagnose errors or rerun policies independently


This forced underwriters to interpret results themselves when making high-stakes credit decisions, increasing the potential for error.

Product Strategy

Turning Confusing Results into Clear Answers

Instead of just “adding more visibility,” I wanted to help people understand what happened, why it happened, and what to do next.

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  • Clarity over oversimplification

    Underwriting is complex, and hiding details doesn’t help. The goal was to make it easier to understand not to water it down.

  • Start simple, then go deeper

    Give people a clear answer upfront, with the ability to dig into the details without losing their place.

  • Make it useful, not just informative

    It wasn't enough to show the decision for each step — users needed to be able to act on it and make changes if necessary.

Outcome & Summary

Evaluate, Troubleshoot, Action

​The solution was validated through strong internal feedback and positive user response, demonstrating clear improvements in usability and clarity.


The redesigned experience enabled users to move beyond simply viewing outcomes to actively understanding and acting on them. By making decision logic transparent and accessible, it supports faster, more confident underwriting reducing the need for manual interpretation and guesswork.

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What Users Can Now Do

  • Trace every decision back to its originating data

  • Identify exactly where a policy failed

  • Resolve certain issues immediately

  • Rerun policies with confidence​

Challenges & Tradeoffs

  • High system complexity required deep collaboration with engineering

  • Early concepts (e.g., progress bars) proved unscalable and space-inefficient

  • Tight timelines led to premature reliance on UI components over foundational exploration