2 teams need attention in this period.
100% Activated, but only 0% Deep — the org is turning seats on, not changing how software is built.
Last 30 days · 2 unique actors · anchor week 2026-08-24
Nudges: 3 sent, 2 moved up a stage. 2 of 3 nudged teams moved up within 2 weeks; 2 of 3 within 4 weeks. Playbook actions leaders marked as sent, joined to stage movement 2 and 4 weeks later. Aggregate counts only — whether the nudged team or person moved up a stage. Full formula: Methodology page.
Security incidents
7 security incidents in this org
3 critical production items open — fix before sharing reports.
Needs attention Teams ranked by how many people are stuck, weighted by how stuck they are (idle counts most). Ranking weight: each idle seat counts 3, poor-quality use 2, shallow use 1. A team appears when its weight reaches 3 or its stuck count grew vs the prior period. Full formula: Methodology page.
| Team | Stage mix | Trend | Top stall reason | Next | Cost (period, est.) |
|---|---|---|---|---|---|
|
platform
23 actors |
|
worsening
9 more people in a gap
|
Only 1 active day(s) this week — aim for mid-task use on 3+ days. |
Open team
Build a 3-day habit |
$1.23 |
|
legacy
4 actors |
|
worsening
3 more people in a gap
|
Only 1 active day(s) this week — aim for mid-task use on 3+ days. |
Open team
Build a 3-day habit |
$0.08 |
Where teams are
Adoption funnel Unique actors grouped by highest stage reached this period. Each bar is a filter link. One person counts once at their best stage, not once per tool-week row.
2 unique actors
-
Not using Seat paid, zero or minimal activity. No meaningful sessions this period. 0 · 0%
-
Activated First real session beyond hello-world. Threshold: at least one substantive session. 2 · 100%
-
Habitual Used on 3+ active days per week, mid-task. Habitual = 3+ active days/week with real tool use. 0 · 0%
-
Deep Agentic multi-file work ending in commits. Habitual week with commit outcome and agentic depth: ≥1 subagent or ≥5 tool calls (PostToolUse only — PreToolUse pairs are not double-counted). 0 · 0%
-
Multiplying Creates shared patterns others reuse. Patterns or artifacts others pick up (subagents, shared workflows). 0 · 0%
Click a stage to filter the overview. Works with JavaScript disabled.
Team × week stages Each cell shows where that team sat on the funnel that week. Modal unique-actor stage per team-week, with higher ladder stage winning ties. Full formula: Methodology page.
| Team | 07-27 | 08-03 | 08-10 | 08-17 | 08-24 |
|---|---|---|---|---|---|
| legacy |
Activated
|
Activated
|
—
|
Activated
|
Activated
|
Industry medians for context: 3.6 hrs/wk (Time saved (daily AI users)); ~22% (AI-authored merged code). Directional only — peer percentiles unlock when 5+ installs opt in. Benchmarks settings →
Week over week
Week of 2026-08-24 vs prior week
| Stage | Current | Previous | Δ |
|---|---|---|---|
| Not using | 0 | 0 | 0 |
| Activated | 2 | 1 | +1 |
| Habitual | 0 | 0 | 0 |
| Deep | 0 | 0 | 0 |
| Multiplying | 0 | 0 | 0 |
Stage transitions
Last 30 days vs Prior period · best stage per actor
Moved up
0 actors0
Reached a higher adoption stage vs the prior period.
Regressed
0 actors0
Dropped a stage but still active (not idle).
Churned to idle
0 actors0
Ended at Not using after prior-period activity.
How they're using it
Tool mix
Are they using it well
Three adoption gaps Where coaching effort should focus: idle, shallow, or poor-quality use.
Not using Seat paid, zero or minimal sessions.
0
Seat paid, zero or minimal sessions. 0% of 2 actors.
Using shallowly Short sessions, low tool depth, no commits.
2
Short sessions, low tool depth, no commits. 100% of 2 actors.
Using poorly High abandonment, errors, token waste.
0
High abandonment, errors, token waste. 0% of 2 actors.
Cost
Estimated spend this period: $0.02
- legacy — $0.02