Files
pm-claude-skills/plugins/pm-data/skills/dashboard-brief/SKILL.md
T
2026-04-02 09:19:07 +01:00

123 lines
4.2 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
---
name: dashboard-brief
description: "Convert a business question into a complete dashboard specification. Use when asked to design a dashboard, create a dashboard spec or brief, plan a BI report, or define what charts and metrics a dashboard should include. Produces a structured spec with metrics, dimensions, chart types, filters, and layout guidance."
---
# Dashboard Brief Skill
This skill converts a business question or monitoring need into a complete, implementation-ready dashboard specification. The output gives a data engineer or BI developer everything they need to build without a follow-up meeting.
## Required Inputs
Ask the user for these if not provided:
- **The business question this dashboard should answer** (e.g. "How is our activation funnel performing this week?")
- **Primary audience** (exec / product team / operations / customer success / engineering)
- **Refresh cadence** (real-time / hourly / daily / weekly)
- **Data sources available** (e.g. Postgres, BigQuery, Mixpanel, Salesforce, Jira)
- **BI tool being used** (Looker / Metabase / Tableau / Power BI / Grafana / Custom / Unknown)
## Output Structure
---
# Dashboard Brief: [Dashboard Name]
**Business Question:** [The question this dashboard answers — verbatim from inputs or refined]
**Audience:** [Who uses this]
**Refresh Rate:** [Real-time / Hourly / Daily / Weekly]
**Data Sources:** [List]
**BI Tool:** [Tool or Unknown]
---
## Section 1: Key Metrics (KPI Cards)
List the headline numbers that should appear at the top of the dashboard as KPI cards.
| Metric | Definition | Data Source | Comparison |
|---|---|---|---|
| [Metric name] | [How it's calculated] | [Table/source] | [vs. last week / vs. target / MoM] |
Aim for 36 KPI cards. More than 6 is noise.
---
## Section 2: Charts & Visualisations
For each chart, specify:
### Chart [N]: [Chart Title]
- **Chart type:** [Line / Bar / Stacked bar / Pie / Funnel / Heatmap / Table / Scatter]
- **Why this chart type:** [One sentence — why this type suits this data]
- **X-axis / Rows:** [Dimension — e.g. Date, User segment, Product]
- **Y-axis / Values:** [Metric — e.g. Count of active users, Revenue]
- **Breakdown/colour:** [Optional secondary dimension — e.g. by Plan tier, by Channel]
- **Data source:** [Table or source]
- **Filters:** [Any default filters applied — e.g. "Exclude internal test accounts"]
- **Key insight to surface:** [What pattern or signal this chart should help the viewer spot]
---
## Section 3: Filters & Controls
Global filters available to dashboard viewers:
| Filter | Type | Default | Options |
|---|---|---|---|
| Date range | Date picker | Last 30 days | Custom |
| [Segment filter] | Dropdown | All | [List relevant values] |
| [Other filter] | Multi-select | All | [List relevant values] |
---
## Section 4: Layout Recommendation
Describe the dashboard layout in plain terms:
```
[ROW 1 — KPI Cards]: [Metric 1] | [Metric 2] | [Metric 3] | [Metric 4]
[ROW 2 — Primary chart, full width]: [Chart name]
[ROW 3 — Two charts side by side]: [Chart A] | [Chart B]
[ROW 4 — Supporting table, full width]: [Table name]
```
---
## Section 5: Data Requirements
List any data transformations, joins, or derived fields needed:
| Derived Field | Logic | Source Tables |
|---|---|---|
| [Field name] | [How it's calculated] | [Tables involved] |
Flag any fields that may not exist in current data infrastructure.
---
## Section 6: Access & Ownership
- **Dashboard owner:** [Leave for user to fill]
- **Who can edit:** [Leave for user to fill]
- **Who can view:** [Leave for user to fill]
- **Review cadence:** [When should this dashboard be reviewed for relevance?]
---
## Quality Checks
- [ ] Every chart has a stated "key insight to surface" — not just "show the data"
- [ ] KPI cards are 36 (not more)
- [ ] Chart types are justified
- [ ] Layout follows visual hierarchy (summary → detail)
- [ ] Data requirements section flags any missing fields
- [ ] Filters are practical and don't require IT to configure
## Example Trigger Phrases
- "Design a dashboard to track [business process]"
- "Give me a spec for a [team] performance dashboard"
- "What should go on a [topic] dashboard?"
- "Write a dashboard brief for our [metric] monitoring"