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Symptoms Pointing in Three Directions

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Symptoms Pointing in Three Directions

An insurance claims team processes 1,800 motor claims a month. Complaints have risen 30% in two quarters. The head of claims believes staff are poorly trained and wants a £200k training programme. Available evidence: average claim cycle time has risen from 9 to 13 days; 22% of claims are reassigned to a second handler; the proportion of claims requiring a supervisor override has risen from 8% to 19%; staff turnover is 34%; a recent system upgrade added two new mandatory fields to the intake screen. No time-and-motion data exists. Customer complaint text has not been categorised. The board wants an answer this month.

1. Evaluate the head of claims' diagnosis against the evidence and propose a structured investigation.

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The training diagnosis is one hypothesis among several, and the evidence points more strongly elsewhere.

Against training as primary cause:

  • Reassignment at 22% suggests handoffs, not skill gaps. Training does not reduce handoffs.
  • Overrides up from 8% to 19% suggests either unclear rules or staff lacking authority/confidence in the system - often a process or system issue.
  • The two new mandatory intake fields are a plausible direct cause of longer cycle time and possibly of rework.
  • 34% turnover means training investment leaks out of the door and is itself a symptom worth explaining.

Proposed investigation (2–3 weeks):

  1. Categorise a sample of complaints (say 300) to find the dominant themes.
  2. Map the claim process end to end and measure where the 4 extra days sit - queue, handoff, rework or decision.
  3. Sample 50 reassigned claims and find why they were reassigned.
  4. Test the intake change: compare cycle time before and after the upgrade.
  5. Structured interviews and exit data on turnover causes.

Only then size the options. Training may still feature, but as one lever among several, and the board gets an evidence-based answer rather than a plausible one.

2. How would you present findings to a board that wants an answer this month, given the investigation is not complete?

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Give the board a decision, not a data dump.

Structure:

  1. What we know - the four measured trends and the timing of the system upgrade.
  2. What we can and cannot conclude - state plainly that the training hypothesis is not supported as the primary cause by current evidence, and say why in one sentence per data point.
  3. Leading hypothesis - intake change and handoff design are the strongest candidates; training and turnover are contributing factors.
  4. What we recommend now - approve a bounded investigation (2–3 weeks, small cost) and defer the £200k training decision until it reports. Where quick wins are low-risk (e.g. reviewing the two mandatory fields), authorise them now.
  5. What we will bring back - a sized options paper with costs and expected benefit.

This gives the board a clear position and a date, without committing £200k to an unproven diagnosis.