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Training and practical verification

Assessment and finding the gaps

Averages hide the specific step where people keep going wrong.

Demonstration: Brightwater Logistics (fictional) · Logistics. Fictional data and a scripted answer.

The situation

Organisation
Brightwater Logistics (fictional)
Who is asking
Learning and development lead
Industry
Logistics
What happened
A knowledge assessment on the new dangerous-goods procedure shows uneven results, and there is budget for two follow-up sessions.

The question asked

Which knowledge gaps should the two follow-up sessions address first?

What it reads, and who can see the result

  • Assessment results by question exportShare of learners answering each topic correctly.
  • Risk ratings registerHow serious a wrong answer would be.
Reads
Aggregated results by topic and the risk rating of each topic.
Does not read
Individual learners' answers.
Permission
L&D access to aggregated assessment data.
Who sees it
The L&D lead and the dangerous-goods adviser.

Try it

Change how much each criterion matters. The ranking is recomputed, and the page tells you whether the leader would survive a different judgement.

How much each thing matters (0 to 10)
6
8
4
3
  1. 1Spill kit location and use35% wrong; serious.Share of learners getting it wrong: 3Seriousness of a wrong answer: 5Number of people affected: 4Easy to fix in one session: 44.10
  2. 2Segregation of incompatible goods41% wrong; serious.Share of learners getting it wrong: 4Seriousness of a wrong answer: 5Number of people affected: 3Easy to fix in one session: 34.05
  3. 3Reading hazard labels28% wrong; moderate.Share of learners getting it wrong: 2Seriousness of a wrong answer: 3Number of people affected: 5Easy to fix in one session: 53.38
  4. 4Paperwork for road transport52% wrong; lower risk.Share of learners getting it wrong: 5Seriousness of a wrong answer: 2Number of people affected: 2Easy to fix in one session: 43.14
  5. 5Quantity limits per vehicle19% wrong; moderate.Share of learners getting it wrong: 1Seriousness of a wrong answer: 4Number of people affected: 2Easy to fix in one session: 32.62

The leader would change if Share of learners getting it wrong (counted one and a half times). Treat the order as sensitive to that judgement.

Leader's margin over the next option: 0.05. The leader can change under another weighting.

The answer

Simulated answer. Written for this fictional case, not produced by a live model. Only the figures in it are computed, from what you decided above.

With these weights the first gap to address is: Spill kit location and use (priority 4.10).

Each topic is scored on how many got it wrong, how serious a wrong answer would be, how many people it affects and how easily a session can fix it [S1][S2]. The leader is could change under the weightings tested; it would change if Share of learners getting it wrong (counted one and a half times).

The paperwork topic has the highest failure rate but the lowest seriousness, and a ranking by failure rate alone would put it first. Weighting seriousness is what moves it down.

Relies on: S1 · Assessment results by topic, 214 learnersS2 · Topic risk ratings

Review and approval

The L&D lead with the dangerous-goods adviser decides. Approving sets the content of the two follow-up sessions. It does not enrol anyone or change the assessment.

Ready for the reviewer.

In the product this is a different person with the right permission. Here you play that role to see the rule.

What it produces

recommendationDraft, not approved

Follow-up sessions

  • First priority: Spill kit location and use.
  • Sensitive to: Share of learners getting it wrong (counted one and a half times).

Limits of this example

  • Results are aggregated; an individual with a gap will not be named.
  • A weight is a judgement about risk, which the adviser should own.
  • This is a scripted demonstration on fictional data. No model was called and no real organisation, person or result is shown.

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