Product design for fintech

What does good design look like for diligence tools?

A diligence tool exists to help a deal team make a decision under time pressure with incomplete information. The design job is to make the relevant signal legible fast and to make the gaps in the data obvious rather than hidden. A diligence interface that looks clean but quietly obscures what is missing is worse than one that is plainer but honest about the state of the data — because the user is making a judgment that money rides on.

Information density is the central tension. Diligence users want a lot on the screen — they are cross-referencing, comparing, and drilling in — but density without hierarchy becomes noise. The design has to give a clear visual structure to dense information so the eye finds the important thing first and the detail is there when needed. This is the same discipline that governs a well-built data-room index or a deal room, where the organization of the material is itself part of the product.

Provenance and state matter more than in most software. A diligence user needs to know where a number came from, when it was last updated, and whether it is confirmed or estimated. Designing those signals into the interface — source, timestamp, confidence — is what makes a diligence tool trustworthy to a professional who will be held accountable for the decision. The tools that finance professionals actually adopt are the ones that respect how carefully those users read.

The failure mode is designing a diligence tool like a consumer app — hiding complexity behind a friendly surface. Finance users do not want complexity hidden; they want it organized. The design that wins is the one that trusts the user with the full picture while making that picture navigable. This is the same design discipline we bring to our investment banking and private equity work, applied here to data-dense operator software.

How is deal-flow software different to design?

Deal-flow software manages a pipeline of opportunities through stages, and its design challenge is workflow rather than analysis. The users — associates, principals, partners — need to see the state of the pipeline at a glance, move items through stages with minimal friction, and never lose track of who owns what and what happens next. The design has to make the process legible and the next action obvious.

The tension in deal-flow tools is between structure and reality. A rigid pipeline that forces every deal through identical stages does not match how deals actually move; a completely freeform tool provides no structure at all. Good deal-flow design finds the structure that reflects how the team really works — enough process to keep nothing from falling through the cracks, enough flexibility to handle the deals that do not fit the template. That balance is a design decision, not a feature list.

Collaboration and permissions are core, not peripheral. Deal-flow software is used by teams where different people see different things — a junior associate sourcing, a partner deciding, an operations lead coordinating — and the design has to make those roles and permissions clear without cluttering the interface. This connects directly to the confidentiality discipline that runs through all deal-side work, the same confidentiality-first design posture we apply on the M&A advisory sites we build.

The measure of a deal-flow tool is whether the team actually uses it or reverts to a spreadsheet. Adoption is a design problem: if the tool is faster and clearer than the spreadsheet at the moments that matter, it wins. If it adds steps without adding clarity, it gets abandoned. Designing for that adoption threshold — not for a feature checklist — is what separates deal-flow software that ships from software that sits unused.

How do you design financial dashboards that get trusted?

A financial dashboard's entire value is that a user can trust what it shows at a glance. That trust is fragile — one number that looks wrong, one chart that misleads, one metric the user cannot reconcile against their own understanding, and the whole dashboard is discounted. So dashboard design in fintech is as much about correctness and clarity as it is about visual polish, and the two cannot be traded off against each other.

The first discipline is choosing what to show. A dashboard that surfaces every available metric buries the ones that matter; a good one reflects a point of view about what the user actually needs to decide. That editorial choice — what goes on the primary view, what lives a click away, what is not worth showing at all — is where dashboard design is won. The best financial dashboards feel opinionated because someone made deliberate choices about hierarchy.

The second discipline is honest visualization. Charts can mislead — truncated axes, misleading scales, comparisons that are not really comparable — and in a financial context that is not a cosmetic problem, it is a correctness problem. Designing visualizations that represent the data honestly, that make the meaningful comparison obvious, and that do not manufacture a trend that is not there, is a matter of professional integrity as much as craft. The same care applies to any IR site surface where investors read the numbers, a bar we cover in IR website requirements.

The third discipline is state and freshness. A financial dashboard has to be explicit about how current its data is and what to do when data is missing or loading. A dashboard that silently shows stale numbers is dangerous; one that clearly signals its freshness and handles empty and error states gracefully is trustworthy. Those unglamorous states are where financial dashboard design earns or loses the user's confidence.

What are the rules for payments UI?

Payments interfaces have the least room for error in all of fintech, because the action is irreversible and the stakes are immediate. The user is moving money, and the design's job is to make them confident they are doing exactly what they intend — no ambiguity about the amount, the recipient, or the timing. Every element of a payments flow is in service of that certainty.

Confirmation and reversibility govern the flow. The user needs a clear moment to review before committing — amount, recipient, and any fees stated plainly — and clear feedback that the action succeeded or failed. Where an action cannot be undone, the design has to make that consequence obvious before the commit, not after. The discipline is to remove ambiguity at exactly the point where a mistake is most costly, which often means slowing the flow down deliberately at the moment of commitment.

Error states are the real test of payments design. Declines, insufficient funds, network failures, and timeouts are not edge cases in payments — they are routine, and a payments UI that only designs the happy path fails its users precisely when they are most anxious. Designing clear, honest, actionable error states, and never leaving a user unsure whether their money moved, is the core of the work. A payments interface is judged on how it behaves when something goes wrong.

Trust signals throughout the flow matter as much in fintech as anywhere, because users are calibrating whether to hand over financial control. Clarity, consistency, and the absence of anything that feels off are what earn that trust — the same institutional posture that runs through the investment bank and private equity work we do, applied to a live payments surface where the user is literally moving funds. For Farmers Bank Canada we shipped the mobile iOS app that digitized the in-field workflows their agents ran manually, automating roughly 40% of those field processes and producing six to seven figures in operating savings.

How we work

We take on only two to four engagements a quarter, which keeps every project under the direct hands of the founders. Charles Dewitte leads design on every engagement and Hilton Routley leads engineering — a combination that matters in fintech, where the design and the technical constraints are inseparable. There is no account layer and no junior handoff; you work with the founders throughout.

A typical fintech product engagement runs 8 to 12 weeks from kickoff to launch on a flexible timeline, and we can compress that when a launch or a fundraise forces the issue — our approach to fast timelines is described in sprint web design for financial services. Projects start around $5,200, with the final figure shaped by the complexity of the product, the number of surfaces, and the technical integration involved. We are candid about budget in the M&A firm website cost breakdown, and the logic carries over to product work.

We work end to end: product design, the interface itself, and the build — brand and design wrapped around the engineering rather than handed off between disconnected vendors. You can see the range of our product work on the work page and read more about how we operate on the about page. Recent work includes the mobile iOS app we shipped for Farmers Bank Canada, which digitized the field workflows their agents had run by hand. To start, email Charles at cd@vantagehq.com or use the contact page for a candid read on fit, scope, and timing.