Case studies
Eight studies, each written the same way: what was at stake, what the team got, and then the work in enough detail to judge it. The first three are the ones to start with.
All eight
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Stakeholder ethnography, a survey of more than 100 customers and three personas reframed a food manufacturer as an e-commerce brand: 30% revenue growth in 2020 and coverage in Bon Appétit.
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Journey maps across four tools and a 50-person survey found two legitimate release strategies on a JPMorgan Chase engineering platform, and ended a product–engineering deadlock.
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Research into how a precious-metals dealer actually runs and who its customers are, then five AI agents that bridge the gap between the two.
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Study design for a SANS-published comparison of two AI models on an expert firewall migration: a 90% vs. 68% first-pass gap, and why the model with fewer syntax errors made the more consequential ones.
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Three focus groups on a developer-activity dashboard, and the decision about what it was for: engineers read it as a grade, so its purpose and its words had to change before its features did.
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The synthesis of four studies on measuring engineers, beginning with the one above, and the practices that held up against SPACE, DevEx, DORA and DX Core 4.
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Research behind version 1 of LLM Suite: an assistant for developers and a sales-enablement tool for salespeople. Prototype tests, a focus group and feasibility triage gave the team a realistic roadmap and a shared bar for "useful."
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In-context interviews and onboarding tests for an inventory platform before launch found a customer the product wasn't built for, and shaped a manufacturer add-on.
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