Map your team’s AI capability gaps
Rolling out AI across a team fails when training is generic. Some people already prompt fluently; others have never automated a task; one person may be the only one who knows your AI stack. This analyzer lets you rate each team member across four AI competencies, then surfaces the weakest team-wide skills and the risky single points of knowledge so your training budget goes where it actually moves the needle.
How it works
You add each team member with a role and rate them 1–5 on four skills: prompt writing, tool use, automation, and critical evaluation. The analyzer averages each skill across the team to find the weakest competencies, and scans for single points of knowledge — skills where only one person scores 4 or higher. It then produces a prioritised list of training recommendations, weakest team skills first, followed by the riskiest knowledge concentrations.
Tips for an honest analysis
- Rate observed behaviour, not job titles. A senior engineer may be weak at automation; a junior marketer may be your best prompter.
- Fix broad gaps before niche ones. Lifting a skill that is low across the whole team beats deepening one already-strong person.
- De-risk single points of knowledge. Pair the lone expert with a learner so the capability survives if they leave.
- Re-run quarterly. Capability shifts as people learn; track whether your gaps are actually closing.