Synthetic data · real calculations

What an average won’t tell you.

Explore reproducible findings, their calculations, and their limits. These are not customer results or promised savings. Examples do not use your free report.

Mix decomposition · Simpson’s paradox

Operations performance

The headline trend reverses after controlling for work mix

-5.0 pp

Within-group effect

+16.0 pp

Mix effect

Comparing 2026-08-03 with 2026-08-10 across 2 matched workflow/market groups. Task-weighted accuracy changes +11.0 pp, but the fixed-mix change is -5.0 pp.

Latest implied errors by group
Review / US90
Matching / BR30

Accuracy must apply to the Tasks denominator. Rounded rates produce approximate error counts. These aggregated rows do not support individual-level significance tests or causal claims. No unmatched groups were silently excluded.

Effort burden · friction over-index

Customer feedback

The frequency view hides the effort burden

38.6%

Handling-time share

2.3×

Burden over-index

Explicitly “Not helpful” outcomes represent 16.7% of records but 38.6% of recorded handling time. Prioritize measured friction rather than the most common words.

Not-helpful handling seconds by channel
Support261
Help center0
Search0
Website0
Docs0

Channel mix, repeat contacts, and who chooses to submit feedback may bias results. “Helpful” is not a verified resolution. No causal or population-level conclusion is claimed.

Concentration · downside scenario

Sales pipeline

Pipeline coverage depends on fewer deals than the headline suggests

66.5%

Top-deal exposure

2.0

Effective deal count

The supplied probabilities imply 158,700 in weighted value from 271,000 in face value. Lumen alone represents 66.5% of that weighted value. Values retain the source currency; no currency is inferred.

Weighted value by account
Lumen105,600
Northstar25,500
Atlas25,200
Fieldwork2,400

These are user-supplied probabilities, not validated win rates. There is no quota, close-date horizon, or win/loss history here, so no attainment forecast or confidence interval is justified.

Conditional schema · logging coverage

Multi-event activity tracker

The missing-data score confuses different kinds of events

24

Type-pattern blanks

1

Cross-midnight sleeps

37.1% of source cells are blank, but 24 blanks occur in fields that are always empty within their event type. Review the schema before treating them as data loss.

Recorded events by type
Sleep3
Feed3
Diaper2
Meds1
Growth1

0 dates inside the observed span have no records. Even active dates may be partial. No daily baseline, health interpretation, or feeding/sleep relationship is claimed from incomplete logging.

Depth depends on the evidence.

These analyses also run on your files when the required fields are present. Without matched groups, valid denominators, or probabilities, Patlr falls back to descriptive profiling; it does not invent conclusions.

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