Final test & certificate

Choose the best answer for each question.

To pass: at least 8 of 10 correct.

1. Question 1. What is a 'vanity metric' in training?

   AA metric measuring CHANGE and resultsBA metric measuring BUSYNESS (courses, total hours) — sounds big but doesn't measure who can do anything differentlyCA financial metric

2. Question 2. To which Kirkpatrick level should training metrics reach to prove value?

   AStop at Level 1 (satisfaction)BTo Level 3 (behavior) and Level 4 (business results)COnly Level 2 (test scores)

3. Question 3. In the Bank of America / MIT study, what was the surprising finding about call-center employees?

   AChatting among employees is a waste of timeBMore-interactive teams performed higher; letting whole teams break TOGETHER raised productivityCBreaks should be banned

4. Question 4. What is the learning-analytics lesson from the Bank of America case?

   AData can overturn intuition; a small, cheap change can create big impact if you measure the right thingBAnalytics always confirms what we believeCYou should ignore data and trust intuition

5. Question 5. Where should a good training dashboard start its design?

   AFrom every number you can getBFrom the READER and the question they need to answerCFrom the prettiest colors

6. Question 6. Which KPIs should a LEADER dashboard prioritize?

   ATotal learning hoursBBusiness results (L4), % filled internally, ROI of key programsCNumber of slides taught

7. Question 7. When using AI to build a dashboard, what is MANDATORY?

   ATrust the AI result absolutelyBCross-check a few important numbers against source data and ask AI to check its own consistencyCNo checking needed

8. Question 8. What is the data-storytelling structure for leaders?

   AInsight → So what → Now whatBDump all numbers and let them figure it outCJust show pretty charts

9. Question 9. Why does 'learners of course X perform better' not prove course X is effective?

   ACorrelation isn't causation — strong people may be the ones who signed up (self-selection)BBecause performance can't be measuredCBecause course X is too short

10. Question 10. What is the privacy principle when reporting data?

    APublish individual data for transparencyBReport at an AGGREGATE level; too-small group data (under ~5 people) can reveal identitiesCNo need to worry about privacy