TeamBoostWORKFLOW LIBRARY

Forecast evaluation / Delivery leads, planning owners and acceptance reviewers

Before / after

Compare forecast methods on matched cases

Compare forecast methods on the same observed cases while retaining missing predictions.

The artifact exercises matched-case comparison after a misleading same-metric aggregate ranking, rather than converting hours to minutes.

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Original worked case · Manual planning resource

Inspect the decision, not just the summary.

Start with the invented evidence, follow the reasoning, and retain its limits when adapting the brief.

02 · Follow the reasoning

How the case leads to a decision

A all-case MAE=(2+4+8+10)/4=6. B observed-case MAE=(1+3)/2=2. Matched-case A MAE=(2+4)/2=3, versus B’s 2 on exactly those same cases. Missing predictions prevent a four-case B MAE; no zero error is imputed.

The bounded result

The six-versus-two comparison uses different case sets. On the two matched cases A’s MAE is three and B’s two; retain that narrower observed comparison while leaving the four-case B result unavailable.

01 · Inspect the inputs

Every record stays visible

Inspect the invented case records
CaseA absolute error in minutesB absolute error in minutesMatched comparison
121Eligible pair
243Eligible pair
38Missing predictionNo pair
410Missing predictionNo pair

Use horizontal scrolling for wide tables. These records are invented, not customer data.

Definitions and method context

Records, decisions and policies are original synthetic examples. External references supply context; they do not validate these cases or TeamBoostAI capabilities.

Forecasting: Principles and Practice — accuracy ↗
Genuine held-out forecast and point-error evaluation context. Binary scoring examples use their own explicit toy definitions; no real task model is validated.

External references checked 6 October 2026. Demand for these topics has not been measured.

Compare the decision quality

Illustrative before / after

Synthetic planning case: Two methods predict the same four case durations in minutes. A’s absolute errors are 2,4,8,10. B has errors 1,3 for the first two cases, but its last two predictions are missing. Their reported MAEs are six and two.

Before

A six-minute all-case MAE ranked against B two-minute observed-case MAE.

After

Matched-case MAEs three and two reported beside the missing two-case B coverage.

01

Freeze target, unit and case identities

Owner role · Evaluation owner

Evidence: Both methods target the same duration in minutes on cases 1–4.

02

Build the matched evidence set

Owner role · Reviewer

Evidence: Only cases 1 and 2 have errors for both methods; missing predictions remain visible.

03

Bound the comparative claim

Owner role · Planning lead

Evidence: B’s smaller observed MAE is stated for the two matched cases, not all four or future cases.

Decision to make: The six-versus-two comparison uses different case sets. On the two matched cases A’s MAE is three and B’s two; retain that narrower observed comparison while leaving the four-case B result unavailable.

Filled manual planning note

Invented planning text. Adapt it to your evidence and confirmed owners.

The six-versus-two comparison uses different case sets. On the two matched cases A’s MAE is three and B’s two; retain that narrower observed comparison while leaving the four-case B result unavailable. A all-case MAE=(2+4+8+10)/4=6. B observed-case MAE=(1+3)/2=2. Matched-case A MAE=(2+4)/2=3, versus B’s 2 on exactly those same cases. Missing predictions prevent a four-case B MAE; no zero error is imputed. All errors are invented and already use the same unit. The matched subset gives a descriptive comparison only, with no imputation or model validation.

Put the outline to work

  1. Freeze target, unit and case identities. Check: Both methods target the same duration in minutes on cases 1–4.
  2. Build the matched evidence set. Check: Only cases 1 and 2 have errors for both methods; missing predictions remain visible.
  3. Bound the comparative claim. Check: B’s smaller observed MAE is stated for the two matched cases, not all four or future cases.

From a useful outline to team work

Explore TeamBoostAI for your team

Use the owned checks and downloaded brief to discuss this planning decision alongside your TeamBoostAI tasks. Confirm available fields, roles and account features separately. The example is manual; it does not calculate live analytics, create work or run an experiment in the product. Confirm the workflows available in your account before adopting this outline.

Request TeamBoostAI access

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Questions about this workflow

Can I hide cases 3 and 4 after pairing?

No. Preserve the excluded identities and the missing-prediction reason alongside the narrower comparison.

Does matching two cases remove selection bias?

No. Missing predictions may be informative; the small paired subset cannot validate general superiority.

Does this create tasks in the product?

No. The brief is a manual planning resource. Use the product access link to check onboarding and the workflows available in your account.