Leading Analytics and AI Change
Learn to lead an analytics team's work and change, from setting standards from real mistakes to giving feedback that fixes things. No coding: you work on the data of Raket Parts, a fictional maker of rocket parts.
You will be able to
- write a team rule you can check
- sample team work by risk
- recalibrate reviewers who disagree
- give feedback that names a defect and a next step
Review what matters
Sample team work by risk, assess a material defect and recalibrate conflicting reviews.
Feedback that fixes things
Give evidence-led feedback that names a defect, its consequence and a checkable next step.
Skills gap or something else?
Tell a real capability gap from a process, tool or workload cause using work evidence, and route each need to its owner.
Growing people through real work
Turn a development need into real work with named support and review, coach without giving the answer and check the result in later work.
Reviewing capability across a function
See which skills a whole function needs next.
Designing a change plan people can follow
Plan a change that people can actually carry out.
Did people adopt the change?
Judge whether a change was understood, adopted and kept.
Integration project: leading one change in one team
Lead a single change from plan to review.
Final assessment
Leadership decisions on an unseen case.
Leading Analytics and AI Change / Module 1
Rules from real mistakes
Jelmer sees the same mistakes returning in team reports. You will turn them into a small set of rules that reviewers can apply, then replay those rules against evidence.
Sections
Leading Analytics and AI Change / Module 1 / Free practice
Try it on your own question
Run it in the practice editor
The practice editors have the Raket Parts tables loaded. Type a query or a formula, run it and change it as often as you like. Nothing is marked.
Leading Analytics and AI Change / Module 2
Review what matters
Jelmer cannot review every draft in full. You will allocate checks to the riskiest work, add a blind extra check, and make consistent release decisions.
This module builds on module 1. If you are new to this, start with module 1.
Sections
Leading Analytics and AI Change / Module 2 / Free practice
Try it on your own question
Run it in the practice editor
The practice editors have the Raket Parts tables loaded. Type a query or a formula, run it and change it as often as you like. Nothing is marked.
Leading Analytics and AI Change / Module 3
Feedback that fixes things
A draft absence summary mistakes events for people. Jelmer will show the defect, why it matters and the step to correct it, without taking the work away from its author.
This module builds on module 2. If you are new to this, start with module 2.
Sections
Leading Analytics and AI Change / Module 3 / Free practice
Try it on your own question
Run it in the practice editor
The practice editors have the Raket Parts tables loaded. Type a query or a formula, run it and change it as often as you like. Nothing is marked.
Leading Analytics and AI Change / Module 4
Skills gap or something else?
Noor asks Jelmer which development his team needs this year. The self-ratings point one way and the work points another. Some of the shortfalls are not about skill at all.
This module builds on module 3. If you are new to this, start with module 3.
Sections
Leading Analytics and AI Change / Module 4 / Free practice
Try it on your own question
Run it in the practice editor
The practice editors have the Raket Parts tables loaded. Type a query or a formula, run it and change it as often as you like. Nothing is marked.
Leading Analytics and AI Change / Module 5
Growing people through real work
Jelmer needs to strengthen his team while quarter end approaches. Turn development into due work, coach without giving the answer and test later independent performance.
This module builds on module 4. If you are new to this, start with module 4.
Sections
Leading Analytics and AI Change / Module 5 / Free practice
Try it on your own question
Run it in the practice editor
The practice editors have the Raket Parts tables loaded. Type a query or a formula, run it and change it as often as you like. Nothing is marked.
Leading Analytics and AI Change / Module 1 / 1.2
1.2 Group the defects
Section 1.2 complete
Next: 1.3 Write a checkable rule
Leading Analytics and AI Change / Module 1 / 1.4
1.4 Replay the rules
Section 1.4 complete
Next: Module 1 check
Continue to the module check Recap this section Back to module 1
Leading Analytics and AI Change / Module 1 / Check
Module 1 check
Module 1 complete
Next: Module 2, Review what matters
Continue to module 2 Try it on your own question Recap module 1 Back to module 1
Leading Analytics and AI Change / Module 2 / 2.1
2.1 Risk decides review depth
Leading Analytics and AI Change / Module 2 / 2.2
2.2 Add a random check
Section 2.2 complete
Next: 2.3 Match action to impact
Leading Analytics and AI Change / Module 2 / 2.3
2.3 Match action to impact
Section 2.3 complete
Next: 2.4 Make reviewers agree
Leading Analytics and AI Change / Module 2 / 2.4
2.4 Make reviewers agree
Section 2.4 complete
Next: Module 2 check
Continue to the module check Recap this section Back to module 2
Leading Analytics and AI Change / Module 2 / Check
Module 2 check
Module 2 complete
Next: Module 3, Feedback that fixes things
Continue to module 3 Try it on your own question Recap module 2 Back to module 2
Leading Analytics and AI Change / Module 3 / 3.1
3.1 Warm is not enough
Section 3.1 complete
Next: 3.2 Defect, consequence, next step
Leading Analytics and AI Change / Module 3 / 3.2
3.2 Defect, consequence, next step
Leading Analytics and AI Change / Module 3 / 3.3
3.3 Pick your battles
Section 3.3 complete
Next: 3.4 Respond to pushback
Leading Analytics and AI Change / Module 3 / 3.4
3.4 Respond to pushback
Section 3.4 complete
Next: Module 3 check
Continue to the module check Recap this section Back to module 3
Leading Analytics and AI Change / Module 3 / Check
Module 3 check
Module 3 complete
Next: Module 4, Skills gap or something else?
Continue to module 4 Try it on your own question Recap module 3 Back to module 3
Leading Analytics and AI Change / Module 4 / 4.1
4.1 Self-ratings against the work
Section 4.1 complete
Next: 4.2 What caused each shortfall?
Leading Analytics and AI Change / Module 4 / 4.2
4.2 What caused each shortfall?
Section 4.2 complete
Next: 4.3 Order by consequence, route the rest
Leading Analytics and AI Change / Module 4 / 4.3
4.3 Order by consequence, route the rest
Section 4.3 complete
Next: 4.4 Write the needs analysis
Leading Analytics and AI Change / Module 4 / 4.4
4.4 Write the needs analysis
Section 4.4 complete
Next: Module 4 check
Continue to the module check Recap this section Back to module 4
Leading Analytics and AI Change / Module 4 / Check
Module 4 check
Module 4 complete
Next: Module 5, Growing people through real work
Continue to module 5 Try it on your own question Recap module 4 Back to module 4
Leading Analytics and AI Change / Module 5 / 5.1
5.1 Courses or real work
Section 5.1 complete
Next: 5.2 Coach, do not answer
Leading Analytics and AI Change / Module 5 / 5.3
5.3 Did it work?
Section 5.3 complete
Next: 5.4 Protect what matters
Leading Analytics and AI Change / Module 5 / 5.4
5.4 Protect what matters
Section 5.4 complete
Next: Module 5 check
Continue to the module check Recap this section Back to module 5
Leading Analytics and AI Change / Module 5 / Check
Module 5 check
Module 5 complete
Next: Module 6, coming later
Back to the Path Try it on your own question Recap module 5 Back to module 5
Leading Analytics and AI Change / Module 1 / Recap
Recap card
1.1 Why standards matter
Why standards matter
- A standard is a repeatable check, not a promise.
- Use references when sharing people-related examples.
Common mistake
Good intentions. They do not show a reviewer how to catch an error.
Leading Analytics and AI Change / Module 1 / Recap
Recap card
1.2 Group the defects
Group the defects
- Group by what went wrong, not by who wrote it.
- Keep unknown outcomes separate from confirmed results.
Common mistake
Mixed units. Adding purchase order currencies does not produce a euro total.
Leading Analytics and AI Change / Module 1 / Recap
Recap card
1.3 Write a checkable rule
Write a checkable rule
- Include the why, a pass and a fail.
- Choose a check a reviewer can apply quickly.
Common mistake
Vague praise. “Be accurate” would not catch counting events as people.
Leading Analytics and AI Change / Module 1 / Recap
Recap card
1.4 Replay the rules
Replay the rules
- Test the rule against the previous mistake.
- Record tool changes where the rule alone cannot stop recurrence.
Common mistake
False closure. Sending a reminder does not fix an automatic template default.
Leading Analytics and AI Change / Module 1 / Recap
Recap card
Module 1: Rules from real mistakes
Why standards matter
- A standard is a repeatable check, not a promise.
- Use references when sharing people-related examples.
Common mistake
Good intentions. They do not show a reviewer how to catch an error.
Group the defects
- Group by what went wrong, not by who wrote it.
- Keep unknown outcomes separate from confirmed results.
Common mistake
Mixed units. Adding purchase order currencies does not produce a euro total.
Write a checkable rule
- Include the why, a pass and a fail.
- Choose a check a reviewer can apply quickly.
Common mistake
Vague praise. “Be accurate” would not catch counting events as people.
Replay the rules
- Test the rule against the previous mistake.
- Record tool changes where the rule alone cannot stop recurrence.
Common mistake
False closure. Sending a reminder does not fix an automatic template default.
Leading Analytics and AI Change / Module 2 / Recap
Recap card
2.1 Risk decides review depth
Risk decides review depth
- Review consequence and sensitivity.
- Full review tests meaning, sources and required controls.
Common mistake
First in, first checked. Arrival order is not a risk ranking.
Leading Analytics and AI Change / Module 2 / Recap
Recap card
2.2 Add a random check
Add a random check
- Prioritise high-consequence work.
- Add a documented random check from the rest.
Common mistake
Equal checking. It may leave high-risk work under-reviewed.
Leading Analytics and AI Change / Module 2 / Recap
Recap card
2.3 Match action to impact
Match action to impact
- Material errors require correction before release.
- Minor issues may be logged for later polish.
Common mistake
Polishing the wrong number. Presentation cannot fix the thing counted.
Leading Analytics and AI Change / Module 2 / Recap
Recap card
2.4 Make reviewers agree
Make reviewers agree
- Compare the same items, then calculate agreement.
- Revisit a rule together when decisions diverge.
Common mistake
Average the verdicts. That hides why reviewers applied the rule differently.
Leading Analytics and AI Change / Module 2 / Recap
Recap card
Module 2: Review what matters
Risk decides review depth
- Review consequence and sensitivity.
- Full review tests meaning, sources and required controls.
Common mistake
First in, first checked. Arrival order is not a risk ranking.
Add a random check
- Prioritise high-consequence work.
- Add a documented random check from the rest.
Common mistake
Equal checking. It may leave high-risk work under-reviewed.
Match action to impact
- Material errors require correction before release.
- Minor issues may be logged for later polish.
Common mistake
Polishing the wrong number. Presentation cannot fix the thing counted.
Make reviewers agree
- Compare the same items, then calculate agreement.
- Revisit a rule together when decisions diverge.
Common mistake
Average the verdicts. That hides why reviewers applied the rule differently.
Leading Analytics and AI Change / Module 3 / Recap
Recap card
3.1 Warm is not enough
Warm is not enough
- Be constructive and specific.
- The goal is a corrected deliverable and a learned check.
Common mistake
Vague praise. It can leave the underlying error untouched.
Leading Analytics and AI Change / Module 3 / Recap
Recap card
3.2 Defect, consequence, next step
Defect, consequence, next step
- Name the defect, its impact and one action.
- Let the author do the repair, then review it.
Common mistake
Only naming a symptom. “The chart feels wrong” does not identify what to fix.
Leading Analytics and AI Change / Module 3 / Recap
Recap card
3.3 Pick your battles
Pick your battles
- Prioritise material defects, not minor polish.
- Praise sound checks specifically, so colleagues repeat them.
Common mistake
Equal comments. A typo should not hide a wrong business measure.
Leading Analytics and AI Change / Module 3 / Recap
Recap card
3.4 Respond to pushback
Respond to pushback
- Respond to the claim, not the person.
- Agree a verification step before releasing corrected work.
Common mistake
Assistant authority. A confident tool response does not replace source evidence.
Leading Analytics and AI Change / Module 3 / Recap
Recap card
Module 3: Feedback that fixes things
Warm is not enough
- Be constructive and specific.
- The goal is a corrected deliverable and a learned check.
Common mistake
Vague praise. It can leave the underlying error untouched.
Defect, consequence, next step
- Name the defect, its impact and one action.
- Let the author do the repair, then review it.
Common mistake
Only naming a symptom. “The chart feels wrong” does not identify what to fix.
Pick your battles
- Prioritise material defects, not minor polish.
- Praise sound checks specifically, so colleagues repeat them.
Common mistake
Equal comments. A typo should not hide a wrong business measure.
Respond to pushback
- Respond to the claim, not the person.
- Agree a verification step before releasing corrected work.
Common mistake
Assistant authority. A confident tool response does not replace source evidence.
Leading Analytics and AI Change / Module 4 / Recap
Recap card
4.1 Self-ratings against the work
Self-ratings against the work
- A self-rating is a belief. A work sample shows what someone did.
- Commit to who needs help only after you see the work.
Common mistake
Following the ratings. Analyst A rated 5 and owned every capability shortfall.
Leading Analytics and AI Change / Module 4 / Recap
Recap card
4.2 What caused each shortfall?
What caused each shortfall?
- A shortfall has one of four causes: capability, process, tool or workload.
- Only a capability gap is a development need.
Common mistake
Reporting one unit’s claim as fact. Planning asserts titanium was late on 206 lines; 55 of them are contested.
Leading Analytics and AI Change / Module 4 / Recap
Recap card
4.3 Order by consequence, route the rest
Order by consequence, route the rest
- Order needs by what they could change for the reader.
- Send each cause that is not skill to the person who owns it.
Common mistake
Ranking by count. One contested supplier claim can matter more than many small errors.
Leading Analytics and AI Change / Module 4 / Recap
Recap card
4.4 Write the needs analysis
Write the needs analysis
- Findings about one person go to their line manager only.
- In a team of two, “the part-time analyst” names a person.
Common mistake
A team summary that points at someone. Describe the standard, not the person.
Leading Analytics and AI Change / Module 4 / Recap
Recap card
Module 4: Skills gap or something else?
Self-ratings against the work
- A self-rating is a belief. A work sample shows what someone did.
- Commit to who needs help only after you see the work.
Common mistake
Following the ratings. Analyst A rated 5 and owned every capability shortfall.
What caused each shortfall?
- A shortfall has one of four causes: capability, process, tool or workload.
- Only a capability gap is a development need.
Common mistake
Reporting one unit’s claim as fact. Planning asserts titanium was late on 206 lines; 55 of them are contested.
Order by consequence, route the rest
- Order needs by what they could change for the reader.
- Send each cause that is not skill to the person who owns it.
Common mistake
Ranking by count. One contested supplier claim can matter more than many small errors.
Write the needs analysis
- Findings about one person go to their line manager only.
- In a team of two, “the part-time analyst” names a person.
Common mistake
A team summary that points at someone. Describe the standard, not the person.
Leading Analytics and AI Change / Module 5 / Recap
Recap card
5.1 Courses or real work
Courses or real work
- Use due work to build a skill.
- Name support, reviewer and next work sample.
Common mistake
Counting attendance. Completion does not demonstrate stronger work.
Leading Analytics and AI Change / Module 5 / Recap
Recap card
5.2 Coach, do not answer
Coach, do not answer
- Start from what the colleague can already do.
- Ask three questions in order: rows, period, evidence. Give one worked step only if stuck.
Common mistake
Giving the answer. That can hide a skill gap.
Leading Analytics and AI Change / Module 5 / Recap
Recap card
5.3 Did it work?
Did it work?
- Check later independent work against the standard.
- Comparison groups limit claims about what caused change.
Common mistake
Assuming causation. The training claim needs evidence beyond a before and after change.
Leading Analytics and AI Change / Module 5 / Recap
Recap card
5.4 Protect what matters
Protect what matters
- Protect the work linked to the most consequential gap.
- Name deferred work, owner and accepted risk.
Common mistake
Pausing without a decision. A deferral nobody writes down hides its capability risk.
Leading Analytics and AI Change / Module 5 / Recap
Recap card
Module 5: Growing people through real work
Courses or real work
- Use due work to build a skill.
- Name support, reviewer and next work sample.
Common mistake
Counting attendance. Completion does not demonstrate stronger work.
Coach, do not answer
- Start from what the colleague can already do.
- Ask three questions in order: rows, period, evidence. Give one worked step only if stuck.
Common mistake
Giving the answer. That can hide a skill gap.
Did it work?
- Check later independent work against the standard.
- Comparison groups limit claims about what caused change.
Common mistake
Assuming causation. The training claim needs evidence beyond a before and after change.
Protect what matters
- Protect the work linked to the most consequential gap.
- Name deferred work, owner and accepted risk.
Common mistake
Pausing without a decision. A deferral nobody writes down hides its capability risk.
