Internal · Reasoning Diff · Not part of the product experience
Declining acquisition quality
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.
Belief comparison
Expected belief
Each additional marketing dollar buys fewer and worse customers: spend more than doubles for a 7% base increase while churn rises alongside it.
Confidence · high
Aegis belief
The business is defined by the relationship between Churn Rate · Marketing Spend, not by any one line: Churn Rate and Marketing Spend are moving as one, which points to a single underlying cause rather than two separate events.
Confidence · moderate
Aegis did not reach the expected dynamic — the conclusion rests on a different relationship.
Data sensing
Did Aegis look at the wrong evidence?
Benchmark prioritized
Marketing Spend
deteriorating · importance 93 · seen in 4 periods · established-pattern
Customers
volatile · importance 55 · seen in 4 periods · one-off
CAC
deteriorating · importance 93 · seen in 4 periods · established-pattern
Aegis prioritized
Churn Rate
deteriorating · importance 97 · seen in 4 periods · established-pattern
Marketing Spend
deteriorating · importance 93 · seen in 4 periods · established-pattern
CAC
deteriorating · importance 93 · seen in 4 periods · established-pattern
Monthly Revenue
volatile · importance 67 · seen in 4 periods · one-off
Ignored or underweighted
Customers
volatile · importance 55 · seen in 4 periods · one-off
Carried in addition: Churn Rate, Monthly Revenue.
Yes — 1 metric(s) the benchmark rests on were never weighed.
Mechanism misalignment
Why did Aegis reach a different conclusion?
Expected business explanation
Each additional marketing dollar buys fewer and worse customers: spend more than doubles for a 7% base increase while churn rises alongside it.
Aegis business explanation
Churn Rate moved +12.8% (3.9% → 4.4%) while marketing spend moved +27.3% ($99K → $126K). Churn Rate and Marketing Spend are moving as one, which points to a single underlying cause rather than two separate events.
Where it diverged
The benchmark's explanation turns on Customers, which never entered the evidence Aegis used. Without those readings the pattern spend-up-acquisition-quality, unit-economics could not form, so the engine explained the movement one metric at a time.
Decision impact
Expected recommendation
act-now
Aegis recommendation
act-now
The reasoning difference did not change the business decision — both readings resolve to "act-now". Only the explanation behind it differs, which affects trust in the review rather than the action taken.
Engine lesson
Failure type
Unformed relationship
Observed pattern
Customers vs Churn Rate
Category
The right metrics were read, but the relationship between them was not formed.
Root cause
Aegis held every metric the conclusion needed but stopped at description. spend-up-acquisition-quality, unit-economics required the metrics to be read against each other, and each was explained on its own instead.
Supporting evidence
Customers
volatile · importance 55 · seen in 4 periods · one-off
Churn Rate
deteriorating · importance 97 · seen in 4 periods · established-pattern
Monthly Revenue
volatile · importance 67 · seen in 4 periods · one-off
Marketing Spend
deteriorating · importance 93 · seen in 4 periods · established-pattern
Business impact
The recommendation survived — both readings resolve to "act-now" — but it was reached for the wrong reason, which costs trust in the review rather than the action.
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.
Suggested improvement
Capture the exact readings for marketing_spend, customers, cac and the threshold each pattern rule needed. If the same near-miss recurs, the gap is in the rule's tolerance, not in the data.
Notes
- — Scenario family: acquisition-quality. Posture read as deteriorating; benchmark expected deteriorating.
- — Evidence overlap 67% · belief 0% · decision 100% · confidence 50%.
- — 1 attention item(s) escalated on metrics outside the expected evidence set.
- — Evidence only. No reasoning rule should be changed from this single scenario.