• Home
  • BVSSH
  • C4E
  • Playbooks
  • Frameworks
  • Good Reads
Search

What are you looking for?

Practice : Experimentation Dashboards

Purpose and Strategic Importance

Experimentation Dashboards provide visibility into discovery and validation activities. They help teams see what hypotheses are being tested, what results have emerged, and how insights inform decisions.

Without dashboards, discovery progress is invisible, creating bias toward delivery metrics only.


Description of the Practice

  • Dashboards track experiments, hypotheses, outcomes, and next actions.
  • Visualise both successes and failures.
  • Provide transparency across teams and leadership.

How to Practise It (Playbook)

1. Getting Started

  • Create a shared board (e.g., Airtable, Miro, Notion).
  • Log each experiment with hypothesis, method, and outcome.
  • Share dashboard in sprint reviews and portfolio meetings.

2. Scaling and Maturing

  • Integrate dashboards with analytics platforms.
  • Track trends across experiments (e.g., win rates, learning velocity).
  • Link experiments directly to roadmap hypotheses.

3. Team Behaviours to Encourage

  • Openness to sharing failed experiments.
  • Transparency in evidence-based decision-making.
  • Pride in learning, not just shipping.

4. Watch Out For…

  • Dashboards becoming vanity boards with only “wins.”
  • Inconsistent updates leading to stale data.
  • Treating dashboard as reporting tool only.

5. Signals of Success

  • Qualitative: Leadership references dashboards when prioritising.
  • Quantitative: Increase in validated insights informing roadmap pivots.
Associated Standards
  • Experiments validate assumptions early
  • Feedback loops are fast and frequent
  • Value is validated continuously

Technical debt is like junk food - easy now, painful later.

Awesome Blogs
  • LinkedIn Engineering
  • Github Engineering
  • Uber Engineering
  • Code as Craft
  • Medium.engineering