Turn regulatory complexity into a human-centered experience, showing enterprise-level strategic thinking across three touch points.
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.
Business & User Goals
User Success Metric: Allow users to manage their third-party connections with confidence and clarity.
Gathering the principal players
This case study hinges on transforming a fragmented jigsaw of data into cohesive, high-trust UX that fosters familiarity and security.
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 10K plus HNW users.
Defining the 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.
Prototyping & Flow Design
Section 2
Active consent
Data transparency
Design to steer strategy and make complexity feel simple.
Revoking Permissions
Progressive disclosure
Dashboard UX
Iconography
Financial dashboard
This Linked Accounts UI moves beyond a simple list of connections, transforming a technical req. into a high-value financial dashboard.
Design Solution
Revoke: A two-step confirmation modal
- Clearly show what is next
- Demonstrate consequences (i.e. “You will lose access to X)
- Keep the user informed
Prototyping
Goal
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.
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.
Design Solution
What data is being shared
Which account
Confirmation
Consolidate Account Identity with real-time Transactional Intelligence. Transform fragmented data into a clear feedback that surfaces categorised spend and Live Balances for smarter budgeting.
Prototyping
Goal
Discover unwanted connections, show transparency by surfacing shared information
and provide control by allowing for a clear account selection process.
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) is just as important for trust as the “On-Ramp” (onboarding). A Progressive Disclosure model for revoking permissions prevents 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. It should feel like a security feature. 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.
Figma Tip: Vertical v Horizontal
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.
Go Beyond the Screenshot
Static frames only tell half the story. To truly understand the user journey, to feel the interaction several high-fidelity Figma prototypes are available for walkthroughs.
Advanced prototyping
Auto Layout
Microinteractions
Design Systems
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