Roles

Pick the job you want to practise.

Each role has its own set of scenarios, from junior to senior leadership, each written for one level of seniority. Below you will find what each role asks of you, plus one real scenario from it so you can see how the days run.

01 · Role

Data Analyst

Find the cause behind a number nobody can explain: dig into the data, test the theories stakeholders bring you, and brief the business on what to do next.

What you deliver

01
Root cause identified
Why did orders drop? Backed by evidence, not opinion.
02
Recommendation made
A concrete fix or action, with owner and priority.
03
Stakeholders briefed
The right people informed in the right way.
04
Documented + next steps
A shareable write-up with follow-up actions.

Example scenario

The Vanishing Orders

Velora · Online home & living retailer · ~2,900 orders/day · UK + EU

Weekly orders are down 18% and nobody knows why. You have three days to find the cause, recommend a fix, and brief the business.

Seniority: Mid-level
Difficulty: Medium
Duration: 3 days

How the days run

Day 1
Brief & explore
Get briefed, meet the team, get a feel for the data.
Day 2
Dig & pressure-test
Follow the trail and challenge assumptions, including engineering's.
Day 3
Conclude & communicate
Findings due 14:00. Board update at 16:00.

02 · Role

Product Manager

Turn a worrying metric into a decision: work out who is affected and why, weigh competing narratives from around the business, and bring a plan with an owner.

What you deliver

01
Churn driver identified
Which accounts are leaving and why, based on cohorts rather than anecdotes.
02
Decision made
A concrete product/pricing action with owner and trade-offs.
03
Stakeholders aligned
Sales, CS and engineering hear it from you, not the grapevine.
04
Board-ready one-pager
A shareable write-up with next steps and success measures.

Example scenario

The Churn Signal

Loopin · B2B team-updates SaaS · ~4,100 workspaces · self-serve + sales-assist

Logo churn has climbed from 2.1% to 3.4% in three months and the board meets Thursday. Diagnose the driver, pick a fix, and bring a plan, not just a chart.

Seniority: Senior
Difficulty: Hard
Duration: 3 days

How the days run

Day 1
Brief & explore
Get briefed, meet the team, get a feel for the numbers.
Day 2
Cohorts & pressure-test
Find who is churning. Challenge the sales narrative.
Day 3
Decide & communicate
One-pager due 15:00. Board meets Thursday 09:00.

Pick a role and start practising.

Start practising Sign in

Data Analyst

Find the cause behind a number nobody can explain: dig into the data, test the theories stakeholders bring you, and brief the business on what to do next.

What you deliver

Root cause identified

Why did orders drop? Backed by evidence, not opinion.

Recommendation made

A concrete fix or action, with owner and priority.

Stakeholders briefed

The right people informed in the right way.

Documented + next steps

A shareable write-up with follow-up actions.

Product Manager

Turn a worrying metric into a decision: work out who is affected and why, weigh competing narratives from around the business, and bring a plan with an owner.

What you deliver

Churn driver identified

Which accounts are leaving and why, based on cohorts rather than anecdotes.

Decision made

A concrete product/pricing action with owner and trade-offs.

Stakeholders aligned

Sales, CS and engineering hear it from you, not the grapevine.

Board-ready one-pager

A shareable write-up with next steps and success measures.