Non-visual mirror Northstar Home · no customer data

The Store That May Not Have Caused It

Did a fictional store change total value, shift channel, or coincide with a wider trend?

Narrative sequence

  1. Catchment hypothesis — Fictional customer locations define a catchment hypothesis, not geographic truth.
  2. Comparison histories — Stable cohorts align into treated and comparison histories.
  3. Pre-trend — Only comparisons with credible pre-trends earn support.
  4. Event study — The before/after gap becomes a difference-in-differences estimate with uncertainty.
  5. Store heterogeneity — One pooled headline separates into heterogeneous store estimates.
  6. Sensitivity — Placebo dates, catchment changes and leave-one-out ranges attack the conclusion.
  7. Decision groups — Stores finish as supported, weak or unsettled.
Every value encoded by the visual
EvidenceValueStatus / meaning
Pre-trendPASSselected comparison
Pooled estimate-12 indexscenario
Leave-one-out-5 to -17sensitivity
Placebo date0 to -3counter-case
Stores supported2decision
Stores unsettled3decision

Trivial baseline

Naive before/after comparison: attribute the entire post-opening change to the store.

Sensitivity

Test pre-trends, placebo dates, alternate catchments and leave-one-store-out ranges; report the detectable effect bound.

Strongest counter-case

Stores may open where demand was already changing; placebo dates and alternate comparisons attack the result.

Verdict

DOWNGRADED: pooled estimate is unstable. SURVIVES: two store-specific signals; three remain unsettled.

Synthetic example. Deterministic fictional records; not customer data or achieved customer results.