packages/kilo-docs/pages/collaborate/adoption-dashboard/overview.md
The AI Adoption Dashboard helps engineering leaders understand how deeply and consistently their teams are using AI across development workflows. It provides a single AI Adoption Score (0–100) that quantifies organizational AI maturity, plus detailed breakdowns by dimension.
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The dashboard prominently displays your current AI Adoption Score as a percentage (e.g., "Current: 45%"). This score represents how deeply and consistently your organization uses AI across real development workflows.
A stacked bar chart shows your daily adoption scores over time. The chart uses three colors representing the score's dimensions:
Filter the data by selecting:
Use the "Only my usage" toggle to switch between:
Four metric cards at the bottom of the dashboard show week-over-week changes:
Each card displays the percentage change (e.g., "+2.3%" or "-1.5%") with a directional indicator.
The AI Adoption Score is composed of three weighted dimensions:
| Dimension | Weight | Question It Answers |
|---|---|---|
| Frequency | 40% | How often do developers use AI? |
| Depth | 40% | How integrated is AI into actual development? |
| Coverage | 20% | How broadly is AI being adopted across the team? |
Click on any dimension card to view detailed analysis and improvement suggestions specific to that dimension.
| Score Range | Tier | Description |
|---|---|---|
| 0–20 | Minimal adoption | AI usage is sporadic or experimental |
| 21–50 | Early adoption | Some developers are using AI regularly |
| 51–75 | Growing adoption | AI is becoming part of team workflows |
| 76–90 | Strong adoption | AI is deeply integrated into development |
| 91–100 | AI-first engineering org | AI is central to how the team ships code |