DLG section: stakeholder management
Super, we've now planned, executed and completed the experiment. We're in the last section of the project, that also happens to be one of the most important sections, i.e stakeholder management.
1. Problem statement & overview
2. Hypothesis, goal setting & success metrics
3. Experimentation design: Part 1
4. Experimentation design: Part 2
5. Post experiment learnings & next steps
6. Stakeholder management
Stakeholder management
Getting buy in and building influence is really just about who, when and what to communicate. If you do build a muscle for this, you’re golden. Here’s a framework for you to think this through.
Here are some tips on stakeholder management:
- Personalise communication: Adjust the level of detail depending on the audience—executives need high-level summaries, while product teams may need deep insights.
- Early Alignment: Secure buy-in at the hypothesis stage to prevent pushback later.
- Regular Updates: Keep stakeholders informed through structured updates.
- Data-Driven Insights: Use clear data to support conclusions and recommendations.
- Transparency on Failures: Clearly communicate learnings, even if an experiment doesn’t succeed.
Stakeholder Group | When to Communicate | What to Communicate |
Your Manager & Leadership | When you first define the hypothesis | High-level objectives, expected impact, and key metrics |
Cross-functional Teams | Before the experiment goes live | Scope of the experiment, implementation details, dependencies |
Peers & Product Teams | During the experiment | Progress updates, any blockers, initial observations |
All Stakeholders | Post-experiment | Final results, key learnings, recommendations for next steps |
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