Which choices need action, which are underway, and did the last ones land.
✦ Ask the analyst
Available on every tab in your workspace — answers come with sources, the period, the calculation, and a confidence level.
Answers run on your connected books after signup. The sample keeps every number deterministic — it never improvises a reply.
DECISIONS AND FOLLOW-UP
What was decided, who owns it and when to review
A short working log: the decision, its owner, the due date, the expected effect and the actual outcome. No automatic scoring and no invented “percent complete”.
Why there is no “approved impact” and no “% on track”
No “approved impact” and no “% on track” here: this ledger has no approval step, and the only outcome it records is a non-causal association. Both figures would have to be invented.
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State Outcome recorded Decision Approved: mark down the slow spring assortment and shift open-to-buy to the fast SKUs to lift turns off the seasonal low. Owner Hale Mercantile buying team Decided · review by 2026-04-23 2026-06-19 Effect when decided $4 Outcome 0.5 At review: 4.6
Assumptions on the day· The slow assortment would clear at the planned markdown depth.
· Open-to-buy could be reallocated without breaching the credit line.
Since this decision · InferredExpected effect (as modelled)$4At decision4.1At review4.6Movement0.5No on-track score is derived from these. The expected figure is the size of a modelled effect; the observed figure is how the metric's level moved. They are different quantities, and nothing here measures the decision's own financial effect.
Hypothesis holds (inferred)
An inferred association over a window where other factors also changed — never a proven cause.
Showing 1 of 2 · Decisions are captured from Today cards and modeled scenarios — with the numbers as they stood at decision time. There is no blank form, so every entry stays auditable.