Strategy and Product
Requirements analysis
We turn vague intent into testable specification: stories and epics with acceptance criteria, NFRs (performance, security, privacy), integration contracts, and error scenarios—so squads scale backlog without losing the thread.
We operate where risk is high: financial flows, sensitive data, multi-tenant, public APIs, and cross-team dependencies. We bridge business language with what engineering needs (idempotency, rate limits, inconsistent states, reconciliation).
For startups we avoid the “eternal document”: we prioritize what unblocks the sprint and protects runway (minimum viable compliance, observability, rollback). For scale-ups we strengthen traceability and regression criteria for enterprise customers.
Portfolio of Requirements analysis
Deliverables
Requirements document
Functional + NFRs + domain glossary.
Traceability matrix
Business goal → epic → story → acceptance criterion.
Edge case catalog
Prioritized list with expected behavior and impact.
Integration specification
High-level OpenAPI or equivalent + security notes.
Technical compliance checklist
Privacy, logs, consent, minimization—scoped to engagement.
Acceptance test plan
Suggested scenarios for manual QA and hooks for future automation.
Execution methodology
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Discovery and flow prioritization
Critical flows, actors, sensitive data, and external integrations; prioritize by risk and value.
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Modeling and scenarios
Use cases or user stories with happy, alternate, and exception paths; states and transitions when the domain demands.
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Non-functional requirements
Latency targets, concurrency, RPO/RTO, audit, data retention, authN/Z at high level.
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Contracts and integrations
Payloads, error codes, webhooks, API versioning, and deprecation strategy when applicable.
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Validation with engineering and QA
Review sessions to close ambiguity, technical risk sizing, and automatable acceptance criteria when possible.
