What’s your AI Score?
Find out how effectively you use AI in your profession. Complete a practical assessment, compare yourself with professionals at your level, and see which AI skills are limiting your performance.
Free · Profession-specific · Practical tasks · Results after completion
LowMarketHigh
Your score Market median, same level Growth area
We don’t test whether you know AI tools. We test how you work with AI.
AI tools change every quarter, so a score that depends on remembering product names and interfaces is worth nothing a year later. You are allowed to use AI throughout the assessment — the tasks are your own profession’s work, and what is measured is the result you get with it.
- Problem framing01
- Task decomposition02
- Context preparation03
- Research04
- Use of data05
- AI workflow design06
- Verification07
- Automation08
- Judgment09
- Business result10
AI capability is profession-specific
A CFO, a recruiter, a product manager and a software engineer use AI in fundamentally different ways. Every profession has its own tasks, competency model and benchmark.
Product Management
- Product Manager
- Senior Product Manager
- Head of Product / CPO
5 competencies 3 levels Standard v1.0
≈ 45 min n = 8,412 MK AvailableMarketing
- Marketing Manager
- Senior / Lead
- Head of Marketing / CMO
5 competencies 3 levels Standard v1.0
≈ 45 min n = 5,106 AN AvailableAnalytics
- Analyst
- Senior Analyst
- Head of Analytics
6 competencies 3 levels Standard v1.0
≈ 50 min n = 3,847 HR Coming soonHR & Recruiting
- Recruiter
- HR Business Partner
- Head of People
5 competencies 3 levels Standard in draft
Q4 2026 In interviews FI Coming soonFinance
- Financial Analyst
- Finance Manager
- CFO
6 competencies 3 levels Standard in draft
Q4 2026 In interviews SE AvailableSoftware Development
- Engineer
- Senior Engineer
- Staff / Engineering Lead
6 competencies 4 levels Standard v1.0
≈ 60 min n = 11,240Can’t find your profession? Request it — the next standards are built in the order they’re asked for.
More than one number
A score on its own tells you very little. The result sheet is a map of your AI capability: where you stand against professionals at your level, which competencies carry your work, and which two or three are holding it back.
- Your AI Score
- 67 · Top 34% among Senior Product Managers
- Main growth areas
- Data analysisAutomation
Fig. 1 — Senior Product Manager, September 2026
Compare yourself with the market
Every score is read against the distribution for your profession and seniority, not against an absolute scale. A 72 means something because 8,412 Senior Product Managers have sat the same tasks.
| # | Professional | AI Score | Percentile | Std. |
|---|---|---|---|---|
| 01 | A. Kaufman | 94 | Top 1% | v1.0 |
| 02 | M. Devi | 91 | Top 1% | v1.0 |
| 03 | J. Lindqvist | 86 | Top 5% | v1.0 |
| — | Your example result | 72 | Top 21% | v1.0 |
| — | Level median | 56 | 50% | v1.0 |
Fig. 2 — Distribution of results, last twelve months
Your AI Score can improve
Don’t learn all of AI. Learn what will improve your professional performance. The development path is built from your own gaps, and it ends where it started — with a retest.
- 01Score58 / 100
- 02Skill gapAutomation · Data
- 03Learning6 modules, your tasks
- 04Practice12 assessed exercises
- 05RetestTarget 75+
- Current
- 58
- Target
- 75 +
- Main gaps
- Data analysis Automation Multi-step AI workflows
Each gap resolves to a short set of practical modules in your own profession’s tasks — the same kind of work the assessment measured, done until it’s routine. Retest when you’re ready; the score history keeps the record.
- 54March
- 67June
- 78September
A result worth publishing under your own name
Alexey Basov CPO · IT Director · Digital & AI Transformation Executive level · Assessed Sep 2026 Executive / Product & Digital Leadership
- Research & Synthesis 91
- AI Workflow Design 88
- Verification & Judgment 84
- Automation 79
- Data & Analysis 76
An anonymous 82 is data. A name, a role and a benchmark beside it is a professional result — so the personal card leaves the publication’s voice and takes the professional network’s: a light surface, a portrait, one clear figure and the standard it was measured against. It stands on its own as a post, a profile attachment or a line in a CV.
“Good with AI” is no longer a hiring signal
Measure actual AI-enabled professional performance — in candidates, in employees, and across a whole function.
Hiring
Assess candidates before you hire them. You receive the score, the competency breakdown, the market benchmark and the evidence from the practical tasks they completed.
One result sheet per candidateEmployees
Assess the people you already have. Compare within a role, identify development gaps, build plans against them and measure the change after training.
Role cohort, before and afterTeams
Build an AI capability map for a function or the whole organisation: score distribution, role-based gaps, benchmark against the market, and a reassessment after training.
Capability distribution, 240 employeesWho decides what a good AI Score means?
AI Score Standard Edition v1.0 Product Management Updated Sep 2026
The AI Score Standard is built with practising professionals: their real tasks, their real AI workflows, observed performance, and the assessment data itself. It is versioned, and it is rewritten as AI capability changes — a standard written in 2024 would already be wrong.
- Professionals
- Real workflows
- Real tasks
- Assessment
- Benchmark
- Standard
In force: Product Management v1.0 · Analytics v1.0 · Software Development v1.0 · Marketing v1.0
Find out your AI Score
A free AI competency assessment for your profession. Results as soon as you finish.
No payment · No tool trivia · Your profession’s own tasks