Redefining Consent Mngt

Turn regulatory complexity into a simple, human-centered experience, showing enterprise level strategic thinking

Turn regulatory complexity into a human-centered experience, showing enterprise-level strategic thinking.

The Challenge

Section 1

Dashboard UX

Front End UI

Back End Data Systems

Take a cluttered data dump and re-org with applied IA principles to prioritise key metrics.

Understand API constraints and latency through the developers eyes, ensuring the UI is designed gracefully while loading large datasets.

Goal 

Implement the Account Information Service Provider (AISP) flow for Open Banking on desktop. Provide users with aggregated financial insights within a complex data Dashboard from multiple sources.

Secondary Goal: Demonstrate strong understanding of FE interactive design solutions for BE data systems.

The Problem

Open Banking consent is inherently complex and intimidating, leading to high drop-off rates and regulatory fines.

Strategic Opportunity: Design a Consent Management Dashboard that not only meets legal requirements (i.e. PSD2, CMA) but also builds trust, by making the flow transparent and effortless.


Gathering the principal players

This case study hinges on transforming a fragmented jigsaw of data into cohesive, high-trust UX.

UX Writing

AI UX Designer

Data Points

Thinking entity to symbolise Open Banking

This AI-UX designer employs the hybrid model:

Human

Journey designing, API and BE driven integrations, and user needs

A simple AI prompt

Create an abstract amorphous image, a ‘thinking’ entity for a financial dashboard using gradient blues and green

Navigation

An action-oriented, collapsible side nav needs to balance financial utilities (i.e. linked accounts and permission-driven consent) while managing who has access to what.

To respect confidentiality agreements, the branding and specific naming have been modified. This product is currently live and serving 6k users

Gold Standard Row Content

API > Actionable

Prompt; Nano Banana

Shift the data from static information to high-trust insights.

By balancing security indicators (timestamps, verified credit boost), the interface transforms complex Open Banking API calls into a true financial dashboard.

Progressive disclosure

Dashboard UX

Iconography

Move beyond a simple list of connections, transforming a technical req into a high-value financial dashboard.

Revoking Permission
Revoking Permissions
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Prototyping

Introduce a clickable mid-fidelity prototype to define a concise, step-by-step journey, using a Just-in-Time disclosure model to manage information overload.

Introduced a concise, step-by-step journey summarising the revoke flow, using a Just-in-Time disclosure model to manage information overload.

Re-connect (or re-authorise)

AISP Flow

ACCOUNT Sharing

Micro-interactions

The Off-Ramp

Simplifying the renewal process with an option to “Revoke” with a single click.

Revoking Permission
Re-connect
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Discover unwanted connections, show transparency by surfacing shared information
and provide control by allowing for a clear account selection process.

The goal is a clickable mid-fidelity prototype designed to test the clarity of the pre-consent screen, specifically the messaging around account selection (i.e. allowing multi-account selection vs. single-account).

Lessons Learnt & Outcomes

Section 3

DATA retention

Human-readable insight

The Just-in-Time Model

Cognitive overload

Data retention

Revocation & Renewal

The Takeaway: The “Off-Ramp” (revocation) uses Progressive Disclosure model for revoking permissions preventing information overload.

  • Outcome: A two-step confirmation modal for revocation.
  • Opportunity: Separating expired consents (< 90 days) from older data (> 90 days) could better inform users about long-term data retention policies.

High-Trust UX

Dashboard UX

Security

Using IA to instil trust

The Takeaway: Consent shouldn’t feel like a legal hurdle. By moving away from a data dump to applied IA, the complexity of PSD2/CMA requirements is rebranded as a transparency benefit.

  • Outcome: Gold Standard Row Content model that translates technical API calls into human-readable insights.
  • Opportunity: Logical Chunking can reduces cognitive friction, adding a I do not recognise flow with Fraud warning capability goes that extra step.

Component variants: Designing a data-rich responsive Figma table row and cell components with auto-layout should be set-up with component variants, giving the flexibility to swap in complementary formats for differing data points.

Cell Design: For the ultimate flexibility, component cells should be stacked in a vertical AL column, set to (W) Fill.

Outcomes

The project proved that prioritising transparency and control in regulatory design is the highest leverage move. Focus on clear FE design, BE clarity, and the details (i.e. 90 day consents) to transform a legal requirement into a trust-building feature.

Comments

One response to “Redefining Consent Mngt”

  1. Russell Webb avatar

    The potential for API-driven finance is massive. We’re moving toward a ‘Finance-as-a-Service’ model where the friction of switching providers or managing multiple accounts is finally disappearing. The real winners here will be the developers and platforms that can turn this raw data into actionable insights for the average user. Excited to see who leads the charge in this next phase of the fintech revolution.