Experimentation Playbooks

Build experiment systems that ship weekly and learn continuously.

These playbooks combine product strategy, technical implementation, and organisational rhythm so your team can move from ideas to validated results without friction.

Start an Experimentation Audit

Tool stack I configure

Optimizely EdgeVWOLaunchDarklyPostHogMixpanelGA4LookerAmplitudeSQL notebooks

Tooling is tailored to your stack—whether you’re running server-side experiments, client-side tests, or AI-assisted evaluations.

01

Set the Operating Principles

Define success criteria, guardrail metrics, and the non-negotiables that keep experiments rigorous while allowing teams to move fast.

  • Document the metrics that matter and their thresholds
  • Establish how hypotheses are written and prioritised
  • Clarify decision authority and approval paths
02

Design Lightweight Tests

Ship experiments that prove or disprove a hypothesis with minimal engineering overhead.

  • Start with behaviour-level objectives, not UI preferences
  • Prototype in Figma or code sandboxes before committing
  • Use feature flags and rollbacks to contain risk
03

Instrument and Analyse

Ensure every variation logs the signals required to make confident decisions.

  • Track leading indicators and supporting qualitative data
  • Build shared dashboards for teams and stakeholders
  • Automate experiment wrap-up notes and next steps
04

Scale the Wins

Turn winning experiments into reusable patterns and system-level improvements.

  • Create playbooks with implementation notes and assets
  • Share learnings via show-and-tell or internal wiki posts
  • Fold insights into onboarding and training

Weekly cadence

  • Stand-up focused on experiment health
  • Review blockers and reassign owners
  • Share early qualitative feedback

Fortnightly cadence

  • Run a structured retro on shipped tests
  • Decide which hypotheses graduate to production
  • Update dashboards and notify stakeholders

Quarterly cadence

  • Revisit the roadmap and re-prioritise backlogs
  • Audit tooling cost vs. value
  • Refresh enablement materials and training

Need a template to get started?

I share experiment hypothesis templates, rollout checklists, and enablement guides tailored to your stack and team maturity.

Request a Playbook Walkthrough

Ready to accelerate your experimentation?

Let’s map your current cadence, tooling, and roadmap, then co-build a playbook that keeps momentum high.

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