Clarative Case Study: A Vendor Due Diligence workflow that doesn't suck

A risk manager's biggest headaches revolve around vendor due diligence questionnaires. Here's how we listened, and how we make things better.

Personas & Problems

Third-Party Risk Manager (TPRM)

Our TPRMs are responsible for reviewing vendor documentation against internal controls to assess onboarding risk. Evidence review is slow and highly manual, and many risk managers lack the authority to block a risky vendor. They have difficulty proving the value of due diligence when the business simply wants to move fast and, as a result, their works is perceived as a bottleneck rather than an important risk standard.

Vendors

Vendors want to move through onboarding quickly so they can start delivering value to customers (and start making money!). But their documentation uploads are often incomplete or incorrectly filled out by sales reps who don’t know the technical details. This leads to delays and repeated back-and-forth requests for clarification.

Goal

Design an AI-forward Due Diligence workflow that streamlines the evidence review process, maintains compliance-ready accuracy, and proves TPRM value.

Role

I led the research and design for the Due Diligence module. Our Head of Eng. and CTO also participated in the interview process, which helped align the broader team around user needs from the get-go.

Impact

As of March 2026, we don't yet have isolated metrics for the Due Diligence module alone, but we do know that teams using our full suite of TPRM tools have reduced their quarterly effort from 2-3 weeks to roughly 2 hours (!!!). I'm happy to say our early adopters really do love what they're seeing, and though we don't have business impact numbers yet, it feels good and validating to know we're making their work easier.

Research Process

Interviews

Our research kickoff timing serendipitously overlapped with a Security & Third-Party Risk summit, which I attended on behalf of Clarative. My colleague (Head of Eng.) and I conducted dozens of lightning interviews at the conference, and followed-up with deep-dive interviews and mock-up feedback sessions after the conference.

KEY ELEMENTS

Understand how the practitioner feels: This gathering was composed entirely of our target users, and a perfect way to deeply understand how they felt about their existing processes, regulatory + stakeholder pressure, and other pain points.

Iterate throughout the interview process: Time is of the essence, and with a finite number of interviews scheduled, we treated each interview block as a “learning sprint” - we debriefed and iterated on questions/discovery mocks each afternoon to validate our understanding with the next day’s participants.

Convert interviews into design partnerships and future customers: Research sessions can be a great way to bring up design partnerships and proof-of-concept trials, framed as “you can help shape the product as we’re building it”.

Landscape Analysis

Due Diligence products already exist. To design something meaningfully better, I conducted structured research into the platforms TPRMs are already using, focusing on both strengths and gaps.

KEY ELEMENTS

Product evaluation through documentation pages and resources

Practitioner sentiment analysis through what they explicitly like or don’t like about their current tools

Public demo and webinar video review

Design Thinking & Stakeholder Alignment

After two weeks of interviews, I led a design thinking session for engineering and sales to decompose all the signal we heard, align on product focus, build user empathy among the engineers, and empower the sales team with talking points that would resonate with potential customers.

KEY ELEMENTS

Empathy mapping

How Might We (HMW) statements

Translating HMW to product features

Research Process

Here's the juicy part.

After hours of interviews and analyses, here are the “how might we's” and insights we gathered:

Vendors and TPRMs are both users of our platform, but they view each other almost as enemies who slow down the others’ work. How might we encourage collaboration and speed up the due diligence process while maintaining accuracy?

Help the TPRM ask tailored and purposeful questions - instead of sending the same 100+ question form to each vendor, could we use AI to leverage existing public information and document extraction to reduce the number of questions we send to the vendor?

Encourage vendors to provide higher quality responses - instead of a vendor giving half-hearted or incorrect answers just to “get this form done”, could we use AI to pre-fill responses based on provided documents, provide response validation based on TPRM's requirements, and reduce the amount of back-and-forth between users?

Design Snippets - Translating research insights into product features

Questionnaires, where vendors fill out usage information with AI-suggested responses from documentation extraction to speed up the process

Questionnaires Review, where Clarative AI runs vendor responses against TPRM standards to alert the vendor of quick-fix mistakes (wrong document uploaded) or where the provided information is not sufficient so that by the time they submit, it's their "best and final" response (reduced back-and-forth).

Assessment Review, where TPRMs review vendor evidence (documentation, questionnaire responses, etc.) and flag risk findings. They can see Clarative's first-pass assessment at whether a vendor's documentation/responses meet pass criteria, as well as source citations (something we learned is necessary to build AI trust).

Rollout

Weekly customer sessions

Our CTO led weekly feedback sessions with early adopters, and we came prepared with clear goals for each meeting to ensure users could meaningfully test the product and fully experience the vision for how our tool would fit into their day-to-day processes.

Demo Videos & Resources

I created resources for various audiences throughout our rollout process. These included

Sales videos: Value-driven videos highlighting business value

Demo videos: Feature-driven videos focusing on elements we know practitioners will resonate with

User Stories: Manuals and examples for how to incorporate Clarative evidence review into a user’s workflow

Final Thoughts

Implementing the Due Diligence module marked our first true deep dive into the third-party risk management space—an area I knew very little about going in. Gaining fluency in governance, risk, and compliance was honestly really challenging, but it pushed me to become much more rigorous in how I learn complex domains. What made the process rewarding was seeing that effort translate into meaningful customer impact. Hearing feedback like, “Clarative is worth it 100%… it gives you so much more time and scope to actually do the job properly,” and “It's a simple, graceful solution to quite a large problem,” feels really good and reinforced that we had succeeded in distilling a dense, high-stakes workflow into something intuitive and valuable.

Looking back, I see opportunities where I could have developed a broader view of the landscape beyond direct user interviews (e.g. incorporating more market & regulatory analysis). At the same time, this project marked a shift in how I show up as a designer. I moved beyond executing quickly on mocks to leading cross-functional alignment, advocating for a clear user-centered vision, and thinking more from a product and leadership perspective. It strengthened my ability to guide teams through ambiguity and align around thoughtful, high-impact solutions.

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