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# Goals Metrics Dashboards and Reporting Series #6: Interpretation vs. Metric Dumps: The Difference Between Data and Decision
- URL: https://www.antoinebuteau.com/goals-metrics-dashboards-and-reporting-series-6-interpretation-vs-metric-dumps-the-difference-between-data-and-decision/
- Published: 2026-05-09T17:47:36.000Z
- Updated: 2026-09-05T03:12:41.000Z
- Description: Numbers do not guide action until someone interprets them. Effective reporting names the metric, explains what it means, states a defensible hypothesis, and recommends a response with ownership, turning passive historical records into tools for decisions.
- Author: Antoine Buteau
- Tags: #Metrics Reporting, Series

There's a type of meeting that happens in every organization. Someone projects a screen full of numbers. Someone else asks "so what?" A silence follows. Then someone says "we should dig into that." Nobody does. The meeting ends. The numbers sit.

That's not a data problem. That's an interpretation problem.

## What Interpretation Looks Like

- A slide with three charts and one sentence per chart: what it means and what we're doing about it
- A weekly update where each number is followed by a clause: "which means..." or "so we're..."
- A dashboard where one number is highlighted in red with a callout: "this is the one that matters this week"
- An email that says "we're down 12% on X. Here's why. Here's what we're doing. Here's what we need."

The person who sends interpretation is doing work. The person who sends a dump is offshoring that work to the reader.

## How to Convert a Dump into a Decision

For any metric you receive — in a meeting, an email, or a dashboard — apply a three-step filter:

**Step 1: What is this number?** Name it clearly. Not "Q3 performance" — "new customer conversion rate."

**Step 2: What does it mean for us?** This is the interpretation step. Is it good? Bad? Better or worse than expected? Why? Be willing to state a hypothesis even if it's incomplete.

**Step 3: What are we doing about it?** A metric with no implied action is a historical record. A metric with an implied action is a decision tool.

Before:

\> Activation dropped from 64% to 52%. Trial starts increased 9%. Support tickets increased 18%.

After:

\> Activation dropped from 64% to 52%, likely because the new setup flow added two required fields. Trial starts are up, but support tickets are up 18%, mostly from setup confusion. Recommendation: roll back the required fields for new accounts this week and rerun the activation cohort next Friday. Owner: Product Ops.

The second version is not longer because it has more data. It is longer because it contains judgment.

## The Underlying Principle

Data without interpretation is a product nobody bought. The person who produces the data is the one who should shape its meaning. If you can't explain what a number means, you're not ready to share it.

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**This is part 6 of 10 in** [**Goals Metrics Dashboards and Reporting**](https://www.antoinebuteau.com/goals-metrics-dashboards-and-reporting-series-index/)**.**

- Previous: [The Weekly Report That Nobody Reads (And the One That Works)](https://www.antoinebuteau.com/goals-metrics-dashboards-and-reporting-series-5-the-weekly-report-that-nobody-reads-and-the-one-that-works/)
- Next: [Who Owns the Metric? The Accountability Problem in Reporting](https://www.antoinebuteau.com/goals-metrics-dashboards-and-reporting-series-7-who-owns-the-metric-the-accountability-problem-in-reporting/)
- [View the full series index](https://www.antoinebuteau.com/goals-metrics-dashboards-and-reporting-series-index/)