Discovery & Acceleration Program

Turn a defined backlog into a production-ready slice with founder-led architecture, CI/CD and KPIs in 30-60 days.

Purpose

Convert a partially defined backlog into an actionable, low-risk build plan and operational runway. Ideal for teams that know what they need but lack senior architecture and delivery capacity.

Structure

Week 0–2: Technical due diligence & scope refinement
  • Review existing backlog & documents; identify domain entities and integration surfaces.
  • Risk register (scalability, data integrity, security, reporting gaps) with mitigation outline.
  • Non-functional requirements baseline (SLAs, data volumes, compliance constraints).
Week 2–4: Architecture blueprint & delivery foundations
  • Architecture decision record: core components, data stores, integration pattern, security approach.
  • Baseline repo, CI/CD pipeline, environment setup, automated quality gates, observability skeleton.
Week 4–8: Core slice implementation
  • First end-to-end workflow (auth → primary workflow → persistence → reporting metric).
  • KPIs dashboard (usage, latency, error budget) + delivery metrics (lead time, deployment frequency).
Optional Week 8–12: Acceleration & scale readiness
  • Performance profiling & targeted optimizations.
  • Integration onboarding playbook; handover documentation.

Deliverables Pack

  • Architecture Blueprint (diagram + ADR summary)
  • Refined Backlog (prioritized; dependencies mapped)
  • Environments & CI/CD (pipeline config, quality gates)
  • Observability Baseline (logging schema, metrics list, dashboard sketches)
  • First Core Slice (demo + code)
  • KPI & Delivery Metrics Dashboard (initial version)

Success Criteria

  • Production-capable slice deployed within 6–8 weeks.
  • < 10% rework on initial architecture decisions in following quarter.
  • Measurable KPI dashboard driving iteration decisions by end of program.

Who this is for

Organisations with a defined backlog or feature list and internal domain expertise, seeking predictable execution, pragmatic architecture and early metrics.