Internal · Reasoning Diff · Not part of the product experience
Strong acquisition, failing retention
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
Acquisition is working and retention is cancelling it out: signups +75% at falling CAC while the customer base is flat and churn doubles.
Confidence · high
Aegis belief
The business is defined by the relationship between Churn Rate · CAC, not by any one line: Churn Rate and CAC are pulling apart, so the period's result is a net of two opposing forces rather than a single trend.
Confidence · high
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
Churn Rate
deteriorating · importance 100 · seen in 4 periods · established-pattern
Customers
volatile · importance 53 · seen in 4 periods · one-off
Trial Signups
improving · importance 74 · seen in 4 periods · established-pattern
Aegis prioritized
Churn Rate
deteriorating · importance 100 · seen in 4 periods · established-pattern
CAC
improving · importance 67 · seen in 4 periods · established-pattern
Customers
volatile · importance 53 · seen in 4 periods · one-off
Trial Signups
improving · importance 74 · seen in 4 periods · established-pattern
Monthly Revenue
flat · importance 60 · seen in 4 periods · emerging-pattern
Ignored or underweighted
Nothing expected was missed.
Carried in addition: CAC, Monthly Revenue.
No — every expected metric was read, but the conclusion also carried metrics the benchmark treats as secondary.
Mechanism misalignment
Why did Aegis reach a different conclusion?
Expected business explanation
Acquisition is working and retention is cancelling it out: signups +75% at falling CAC while the customer base is flat and churn doubles.
Aegis business explanation
Churn Rate moved +22.7% (6.6% → 8.1%) while cac moved −4.8% ($126 → $120). Churn Rate and CAC are pulling apart, so the period's result is a net of two opposing forces rather than a single trend.
Where it diverged
Aegis had the right evidence in hand but did not connect it: churn-vs-revenue, funnel-quality was not surfaced, so the conclusion stopped at description rather than dynamic.
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
CAC vs Monthly Revenue
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. churn-vs-revenue, funnel-quality required the metrics to be read against each other, and each was explained on its own instead.
Supporting evidence
CAC
improving · importance 67 · seen in 4 periods · established-pattern
Monthly Revenue
flat · importance 60 · seen in 4 periods · emerging-pattern
Churn Rate
deteriorating · importance 100 · seen in 4 periods · established-pattern
Customers
volatile · importance 53 · seen in 4 periods · one-off
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 churn_rate, customers, trial_signups 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 mixed; benchmark expected mixed.
- — Evidence overlap 100% · belief 0% · decision 100% · confidence 100%.
- — Evidence only. No reasoning rule should be changed from this single scenario.