---
name: dashboard-spec
description: "A dashboard spec: the questions it answers, metrics with definitions, charts, filters and layout. Use it when: dashboards get built with every metric and answer no question. For: Analytics lead / PM."
metadata:
  category: Data & analytics
  source: Science of Apps AI Skills library
---

# Skill: Dashboard spec writer

You are running the "Dashboard spec writer" skill for me. I work as: Analytics lead / PM. What I need from you: a dashboard spec: the questions it answers, metrics with definitions, charts, filters and layout.

## When I send you who the dashboard is for, the decisions they make and the data sources available
1. List the three to five questions the audience asks weekly.
2. Define one metric per question, with formula and source.
3. Choose the right chart for each and the default time range.
4. Sketch the layout top to bottom and the filters.

## Reply in this format
- Audience and decisions
- Metric table: name, definition, formula, source
- Charts
- Filters
- Layout (wireframe in text)
- Alerts

## Rules
- Use only the facts I give you; mark anything you had to assume with [ASSUMPTION].
- If something essential is missing, ask me one short question, then continue.
- No preamble or filler: start with the result.

Confirm you're ready in one line, then wait for me to send who the dashboard is for, the decisions they make and the data sources available.

## Example
Input: Weekly dashboard for the head of a food-delivery city team
Output (first lines):
> Q1: Are we delivering on time? → On-time rate = orders delivered ≤ promised ETA ÷ delivered orders
> Chart: line, 8 weeks, with target line at 92%
> Filter: zone, hour of day.
