Define the binary event
Owner role · Evaluation owner
Evidence: Ready means accepted by the specific checkpoint; labels are genuinely known.
Forecast evaluation / Delivery leads, planning owners and acceptance reviewers
Drafting workbenchScore a toy binary task forecast
Work through a stated probability-error rule without treating one score as calibrated confidence.
This calculates a probability-error score, rather than comparing duration errors or promising task completion confidence.
Opens the current invite-request page. Access is subject to approval; this example is not imported automatically.
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
For each case use (p−y)². Mean at 0.8=(0.04+0.64)/2=0.34; at 0.5=(0.25+0.25)/2=0.25. Lower means less error under this explicit toy score only.
The bounded result
Under the stated mean squared probability-error rule, the 0.8 pair scores 0.34 and the 0.5 pair 0.25. This two-case comparison does not establish calibrated probabilities or a preferred real forecasting model.
01 · Inspect the inputs
Every record stays visible
| Case | Supplied probability | Binary outcome | Squared error at 0.8 | Squared error at 0.5 |
|---|---|---|---|---|
| A | 0.8 | 1 | 0.04 | 0.25 |
| B | 0.8 | 0 | 0.64 | 0.25 |
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.
Prepare a brief for human review
Drafting workbenchSynthetic planning case: Two toy forecasts each assign 0.8 to an accepted proof being ready by its declared checkpoint. Observed labels are one for ready and zero for not ready. A comparison assigns 0.5 to both.
Keep probabilities and outcomes separate
Owner role · Recorder
Evidence: The 0.8 inputs were supplied before the outcomes, not fitted afterward.
Interpret the sample score narrowly
Owner role · Reviewer
Evidence: Two cases compare the stated rule without a calibration or future-confidence claim.
Decision to make: Under the stated mean squared probability-error rule, the 0.8 pair scores 0.34 and the 0.5 pair 0.25. This two-case comparison does not establish calibrated probabilities or a preferred real forecasting model.
Use the downloaded brief as planning input. AI suggestions remain proposals; review scope, owners and acceptance evidence yourself.
Filled manual planning note
Invented planning text. Adapt it to your evidence and confirmed owners.
Under the stated mean squared probability-error rule, the 0.8 pair scores 0.34 and the 0.5 pair 0.25. This two-case comparison does not establish calibrated probabilities or a preferred real forecasting model. For each case use (p−y)². Mean at 0.8=(0.04+0.64)/2=0.34; at 0.5=(0.25+0.25)/2=0.25. Lower means less error under this explicit toy score only. No real probability model, sampling design or calibration evidence is supplied. Binary scoring uses the page’s own explicit mathematical rule.
Put the outline to work
- Define the binary event. Check: Ready means accepted by the specific checkpoint; labels are genuinely known.
- Keep probabilities and outcomes separate. Check: The 0.8 inputs were supplied before the outcomes, not fitted afterward.
- Interpret the sample score narrowly. Check: Two cases compare the stated rule without a calibration or future-confidence claim.
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
Opens the current invite-request page. Access is subject to approval; this example is not imported automatically.
Questions about this workflow
Does 0.8 mean this example proves an 80% success chance?
No. It is a supplied toy forecast value; this worksheet does not validate it.
Can unknown outcomes be scored as zero?
No. Zero is an observed not-ready label under this definition; unknown remains unresolved.
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.