Mtaa wa Manka (MwM) is a borrower-facing credit access platform that connects individuals to lenders by analysing alternative financial data. The product converts non-traditional data sources, such as mobile money statements, into affordability insights that lenders can use to prequalify borrowers.
MwM operates as a derivative product of Manka, an open finance platform, under the Black Swan product umbrella. The intended market is Sub-Saharan Africa, where large segments of the population transact outside formal banking systems and are therefore invisible to traditional credit scoring models.
Many borrowers are creditworthy but excluded from formal lending because their financial activity does not live in bank statements. Lenders, on the other hand, lack the infrastructure to ingest, analyse, and trust alternative financial data at scale.
This creates a structural gap:
Borrowers believe they are ineligible for credit
Lenders cannot confidently assess affordability
Credit decisions are slow, opaque, or impossible
The core challenge was to surface complex affordability analysis to borrowers in a way that felt fast, fair, and trustworthy, without overpromising outcomes.
I was the UI/UX and Design Lead for Black Swan, with full autonomy over the design direction for Mtaa wa Manka. I worked closely with engineering and data teams to structure and visualise complex financial logic into a coherent, user-facing experience.
I owned:
End-to-end borrower experience
Information architecture and interaction design
Partner-facing back-office interface
Design adaptation across mobile and desktop
Time constraint: Product needed to ship quickly for a vehicle-financing pilot with a financial institution
Budget constraint: No primary user research; proto-personas were used
Brand constraint: Some partners required strict adherence to brand guidelines that were not provided upfront
Domain constraint: High financial risk and regulatory sensitivity
Cognitive constraint: Users needed clarity without guarantees
The journey starts with prequalification, not application. Users receive immediate affordability feedback before committing to a full loan process.
Rationale: Borrowers fear wasting time. Fast feedback reframes credit as a transparent process rather than a black box.
Users only pay the one-off prequalification fee after a positive affordability result.
Rationale: Charging upfront would amplify mistrust. Payment after success aligns incentives and reduces perceived risk.
The application is split into a seven-step flow. Each step introduces only the information required at that stage. Complex analysis results are surfaced through bottom sheets with clear success and failure states.
Rationale: Presenting full financial logic at once would overwhelm users and increase abandonment.
Affordability results are framed as “what you qualify for today,” not permanent judgments. Failure states encourage re-submission or retry at a later date.
Rationale: Avoids stigma and maintains user dignity while setting realistic expectations.
A downloadable and shareable prequalification certificate is generated, containing affordability details, loan terms, and expiry date.
Rationale: Converts an abstract financial decision into a concrete artefact users can act on with dealers or agents.
Alongside the borrower app, I designed a lender-facing backend where loan officers can view applicant data, multi-channel financial analysis, and automatically generated CRB reports.
Rationale: Trust is bilateral. Lenders needed visibility and control to confidently act on MwM insights.
Mobile-first application adapted for desktop
Seven-step borrower application flow
Backend dashboard for financial partners
On-brand custom UI for partner implementations, including enterprise-grade deployments
Designs approved by stakeholders without iteration
Usability testing conducted during development
Platform launched and used in live lending scenarios
Live platform supporting vehicle financing use cases
Success measured by number of prequalification applications and loans disbursed
Overlay walkthroughs deferred from MVP and requested post-launch by partners
User research depth limited by time and budget
Reliance on proto-personas increased assumption risk
Early versions lacked guided walkthroughs for first-time users
This project reinforced that in credit products, transparency is not optional. Users will tolerate rejection, lower affordability, or delays if the system is clear and fair.
The central design challenge was not visual polish but cognitive load management: breaking down complex financial systems into small, intelligible steps that preserve user trust. This work sharpened my approach to decision-support UX, where clarity matters more than persuasion.
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