Case studies without the client names.

Without a structured requirements baseline, every team, design, engineering, ops, was working from a different mental model of the product. Scope kept expanding informally in every conversation.

Produce a requirements foundation precise enough for engineering to estimate and build against, and complete enough for stakeholders to sign off on scope before development started.

Mapped every user-facing capability the product needed to support, then grouped them into functional domains to find the underlying structure rather than treating each idea as a standalone feature.

Chose a hub-and-spoke architecture: one central module for shared data and identity, four spoke modules for distinct functional domains. Each module stayed independently buildable and testable without duplicating shared logic.

A 13-page Business Requirements Document defining scope, user roles, and success criteria, followed by a 22-page Functional Requirements Document translating that scope into system behavior, data flows, and module boundaries.

Built in stages with review checkpoints after each major section, rather than delivered as one large draft at the end, so misunderstandings got caught early instead of at sign-off.

Pending confirmation. The client hasn't yet shared implementation-stage results, and this section will be updated once that's in.

A requirements document is only as good as the structure underneath it. The writing is the easy part.

Different stakeholders held incompatible mental models of the product, a scoring tool to one, a collections tool to another, and neither team knew the disagreement existed until it surfaced.

Resolve the disagreement with evidence rather than opinion, and give the team one defensible direction to build toward.

Interviewed stakeholders individually, mapped each objection to what it actually implied about the product's job, and separated objections about purpose from objections about execution details.

Reframed the product from a credit scorer to a collection strategist, a repositioning that resolved the internal disagreement because the product's value came from what to do about risk, not just measuring it.

A revised product definition and a stakeholder-facing rationale explaining how the repositioning addressed every objection raised, not just the loudest one.

Presented the repositioning back to the full stakeholder group before any further design work happened, to confirm alignment rather than assume it.

Pending confirmation.

When stakeholders disagree about a product, the disagreement is often about identity, not features. Fix the identity first.

The product was priced and pitched like every other AI receptionist tool, which meant it competed on price and feature count instead of a distinct value proposition.

Find what the product could credibly own that competitors couldn't easily copy, then rebuild the pricing structure around that.

Ran a direct competitive teardown against a comparable platform, mapping their pricing tiers, feature gates, and positioning language against this product's own.

Identified that the product's real strength wasn't answering calls, it was the operational data those calls generated. Repositioned it from an AI receptionist to an AI business operations platform, with call-answering as one feature inside a broader value story.

A restructured five-tier pricing model built around that repositioning, with each tier gated on operational capability rather than call volume alone.

Delivered the competitive analysis, the repositioning rationale, and the tier structure as one package, so the pricing decision and the positioning decision got evaluated together, not separately.

Pending confirmation.

Pricing is a positioning decision before it's a math decision.

Decisions and responsibilities lived in people's heads, not in any documented system, which made onboarding slow and accountability unclear whenever something went wrong.

Build a reference system detailed enough to onboard new team members without pulling a senior person off their own work, and clear enough to make ownership visible.

Interviewed the team to trace how work actually flowed, project by project, rather than how it was supposed to flow on paper, since the two rarely matched.

Split the deliverable into two connected artifacts: a full operations handbook covering day-to-day work, and a RACI matrix defining who was responsible, accountable, consulted, and informed for every recurring decision.

A roughly 58-page operations handbook paired with a RACI matrix, cross-referenced so anyone could look up either how a thing gets done or who owns it and get the same answer.

Drafted in sections aligned to the team's actual workflow stages, reviewed with the people doing the work before being finalized, so it reflected reality instead of an idealized process.

Pending confirmation.

Documentation projects surface process problems you didn't know you had. Fix those before you write them down, or you'll formalize the wrong process.