Methodology
How RoleCraft reads your work.
What we look at, where the data comes from, and how it becomes your report.
We start with what you do, not just what you are called.
Two people with the same job title can spend their weeks very differently.
So RoleCraft doesn't stop at your title. It looks at the tasks that make up your work, one by one.
That is where AI makes its difference. And that is where your report starts.
From your job title to your plan.
- We match your job. You tell us your job title. We match it to one of more than 3,000 occupations in ESCO, the European classification of occupations and skills. You see the three tasks that define the match. If it doesn't feel like your job, you choose another.
- You make the task list yours. We show the tasks that usually belong to your occupation. Keep what you do. Remove what you don't. Add what's missing, in your own words.
- We weigh your week. Some tasks take an hour a month. Others take half your week. We combine official data on how often each task is done with what you tell us, so the tasks that fill your time count the most.
- We place each task. Each task goes into one of three parts: AI-led, Human + AI or Human-led. The placement is based on how people actually use AI at work today.
- We map your skills. The skills behind your tasks are compared with other occupations. That shows where you already fit, which roles are within reach, and which new skills would open the most doors.
- We build your plan. Your 90-day plan brings it together. What to learn. Why it matters. And what to do this week.
Four questions. Four trusted sources.
- What is your job made of? Official descriptions of occupations, the tasks inside them and the skills they need. ESCO, European Commission · O*NET, US Department of Labor
- Where are people using AI today? Anonymised conversations with AI, mapped to work tasks. They show which tasks people hand to AI and which they do together with it. We check this against a second, independent study of AI use at work. Anthropic Economic Index · Microsoft Research, “Working with AI”
- Where could AI go next? Research into which tasks today's AI could technically support. It shows where more change may come, so you can prepare early. Eloundou et al., “GPTs are GPTs”, Science
- Where is demand for new skills growing? Job postings that show where employers are asking for new AI skills, and in which kinds of roles. Lightcast job posting data
Every result shows where it comes from.
So you always know how much weight to give it.
- Measured: based on how people actually use AI for this kind of task.
- Estimated: based on research into what AI could do, where usage data isn't available yet.
- Your own task: a task you added in your own words. It counts in your week and your plan, and we place it in your Work Split when the data allows.
Designed to work for you.
- You stay in charge of what matters most. If a mistake in a task could do real harm, tell us. We will never mark that task as AI-led. AI may help, but you stay in charge.
- Numbers are calculated. Advice is written by people. Every figure in your report is calculated from the data. The recommendations and career paths are written and reviewed by our team for each family of occupations.
- Your report is yours. Your report is private to you. Your employer never sees it.
- A Manager Report you control. Want to talk with your manager? Share the complimentary Manager Report. It contains only what is relevant for that conversation. Your answers stay private.
Get the most from your report.
The more your task list reflects your real week, the more useful your report becomes.
- Check the match. If the three tasks we show don't sound like your job, choose another occupation.
- Make the tasks yours. Official descriptions are a starting point. Remove what you don't do. Add what you do.
- Mark what matters most. Tell us where a mistake would really count. Those tasks stay in your hands.
- Look at the date. AI use changes quickly. Your report shows which data release it is built on.
Sources
ESCO v1.2.1 (European Commission) · O*NET 30.3 (US Department of Labor) · Anthropic Economic Index, release of 26 June 2026 (May 2026 data), compared with the August 2025 release · Working with AI (Tomlinson et al., Microsoft Research) · GPTs are GPTs (Eloundou, Manning, Mishkin and Rock, Science) · AI Occupational Exposure (Felten, Raj and Seamans) · Lightcast job posting data (US postings, 366 AI skills)
See what this means for your work.
Your work is changing. You don't need to predict the future. You need a clearer view of where you are, where your skills can take you, and what to do next.