Internal · Reasoning Diff · Not part of the product experience

Missing metrics across periods

Why Aegis reached a different conclusion than the benchmark. This page collects evidence from one failed scenario. It does not create reasoning rules — those come only after the same failure appears across many scenarios.

Back to labDisagreementKey metrics are not reported in some periods.
1

Belief comparison

Expected belief

Revenue is the only metric with full coverage. Churn appears to have doubled but is observed twice, so the relationship cannot be asserted.

Confidence · low

Aegis belief

The business is defined by the relationship between Monthly Revenue · Refund Rate, not by any one line: Demand is absorbing a worsening delivery or expectation gap. Refunds lead retention, so the current revenue line likely overstates next period's.

Confidence · low

Aegis did not reach the expected dynamic — the conclusion rests on a different relationship.

2

Data sensing

Did Aegis look at the wrong evidence?

Benchmark prioritized

  • Monthly Revenue

    improving · importance 75 · seen in 4 periods · established-pattern

  • Customers

    flat · importance 45 · seen in 3 periods · emerging-pattern

Aegis prioritized

  • Churn Rate

    deteriorating · importance 96 · seen in 2 periods · one-off

  • Refund Rate

    deteriorating · importance 73 · seen in 2 periods · one-off

  • Monthly Revenue

    improving · importance 75 · seen in 4 periods · established-pattern

  • Customers

    flat · importance 45 · seen in 3 periods · emerging-pattern

Ignored or underweighted

Nothing expected was missed.

Carried in addition: Churn Rate, Refund Rate.

No — every expected metric was read, but the conclusion also carried metrics the benchmark treats as secondary.

3

Mechanism misalignment

Why did Aegis reach a different conclusion?

Expected business explanation

Revenue is the only metric with full coverage. Churn appears to have doubled but is observed twice, so the relationship cannot be asserted.

Aegis business explanation

Revenue rose +9.0% even as refund rate rose +4.8% (2.1% → 2.2%). Demand is absorbing a worsening delivery or expectation gap. Refunds lead retention, so the current revenue line likely overstates next period's.

Where it diverged

Aegis asserted a relationship the benchmark rules out (revenue-up-refunds-up). The numbers moved together, but the direction of cause runs the other way in this business.

4

Decision impact

Expected recommendation

investigate

Aegis recommendation

confirm-next-period

The reasoning difference changed the business decision: the benchmark would open an investigation before committing while Aegis would wait one period for confirmation. Close the reporting gap before making a decision on this business.

5

Engine lesson

Failure type

Correlation mistaken for causation

Observed pattern

Churn Rate vs Refund Rate

Category

A relationship was asserted that the underlying business does not support.

Root cause

Aegis promoted a statistical relationship into a causal one without sufficient supporting evidence: revenue-up-refunds-up fired on metrics that moved together in the same periods, with no third independent reading to fix the direction of cause.

Supporting evidence

  • Churn Rate

    deteriorating · importance 96 · seen in 2 periods · one-off

  • Refund Rate

    deteriorating · importance 73 · seen in 2 periods · one-off

  • Monthly Revenue

    improving · importance 75 · seen in 4 periods · established-pattern

  • Customers

    flat · importance 45 · seen in 3 periods · emerging-pattern

Business impact

The reasoning produced the wrong executive recommendation: Aegis would wait one period for confirmation where the business needed to open an investigation before committing. Close the reporting gap before making a decision on this business.

Candidate principle

None. A single scenario is not evidence. This observation is filed to Judgment Memory and a principle is proposed only once the same behaviour recurs across scenarios.

Status · Evidence CollectionSee accumulated evidence for this pattern

Suggested improvement

Record the shape of revenue-up-refunds-up here — which metric pair triggered it and what the correct reading was — so the trigger condition can be tightened once the same false positive appears in other scenarios.

Notes

  • Scenario family: missing-data. Posture read as mixed; benchmark expected mixed.
  • Evidence overlap 100% · belief 0% · decision 0% · confidence 100%.
  • 2 attention item(s) escalated on metrics outside the expected evidence set.
  • Evidence only. No reasoning rule should be changed from this single scenario.