A dashboard that serves, a memo that decides
Many dashboards get viewed without ever changing a decision. This lesson shows how to design one that answers specific questions, then how to write a short memo that makes the call, states its limits and plans when to revisit the choice. The PM gets a decision the team and leadership can follow.
Lesson objective
By the end of this lesson, you will be able to design a dashboard of five to seven charts tied to questions and definitions, and write a one-page decision memo that states the decision, the data, the alternatives, the limits and the re-evaluation criterion.
Questions this lesson answers
- How do you build a product dashboard that actually drives decisions?
- How do you write a data driven decision memo?
- What sections should a decision memo include to convince a committee?
Topics covered
- product dashboard
- decision memo
- data-driven decision
- metric definitions
In the glossary
Where it fits
Decide with data
How do I go from a chart to a decision the team can follow, without drawing the wrong conclusion?
Lessons in this module
- Interpretation traps, from Simpson to causation
- A dashboard that serves, a memo that decides (this lesson)
- Final workshop: tracking plan, dashboard and memo for your product
What you will learn in this module
This lesson is part of the course Instrument a product and use data to make decisions
- Build a product's metrics tree (North Star, input metrics, guardrails) from the decisions to be made, and rule out vanity metrics.
- Design an implementable tracking plan (events, properties, naming convention, identity and accounts, emitting source, owners).
- Turn an analysis into a reasoned decision (dashboard, decision memo) while avoiding interpretation traps (vanity, Simpson, correlation, small counts).
Related courses
- Product ManagementJuniorSome basics are useful: introductory knowledge of the topic.
Design and validate a product experience with AI
2 hr 30 min
- Product ManagementAdvancedRegular practice: you already use the tools or work on this topic.
Write specs that developers and AI agents understand
2 hr 30 min
- Product ManagementAdvancedRegular practice: you already use the tools or work on this topic.
Prioritize and build an outcome-based roadmap
2 hr 30 min