Specialist-model research desk

SECTION 08 OF 12 / Build & assess

Readiness quiz

Check whether your evidence, permissions and ownership are ready for a pilot.

Pages
20
Sources cited
11
Last updated
26 October 2026
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Hands aligning evidence folders on a desk
Question 1 of 12

Can we define one business task and its failure consequences?

Evidence to show: task contract and three sanitised examples with expected outcomes.

A desk-designed readiness rubric, not a validated prediction of success. Progress stays in this browser; no answers are sent to the desk.

FROM ANSWERS TO ACTION

Your evidence action plan

Answer a question to identify the evidence gaps that belong here.

THE COMPLETE SECTION

Read the full research.

20 PAGES
01

What does this quiz tell us?

It identifies whether you can commission a useful, controlled pilot—not whether fine-tuning will work.

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02

How do we answer and calculate the result?

Choose one answer for each of 12 questions: A = 0, B = 1, C = 2 points.

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03

1. Can we define one business task and its failure consequences?

A — 0: We want “better AI” or lower tokens, without an accepted-output definition.

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04

2. Do we have a dated, reasonably optimised baseline?

A — 0: There is only a demo or an undocumented current model.

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05

3. Do we have documented permission for the planned data use? — HARD GATE

A — 0: Rights are unknown or someone assumes owning the database is enough.

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06

4. Are the labels and examples trustworthy?

A — 0: Labels are generated or inherited without checking.

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07

5. Can we protect an independent final test? — HARD GATE

A — 0: The same examples guide training and prove success, or no test exists.

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08

6. Can we judge results consistently?

A — 0: Success is a subjective demo reaction or an unexplained model score.

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09

7. Does the test cover the production cases that matter?

A — 0: Only easy or familiar examples are included.

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10

8. Can we model cost per accepted task?

A — 0: We compare token or GPU prices alone.

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11

9. Do we know the deployment constraints?

A — 0: Serving is assumed to be easy after training.

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12

10. Is a person accountable for acceptance and operation? — HARD GATE

A — 0: There is no named buyer owner after the pilot.

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13

11. Can we leave the supplier or replace the model?

A — 0: “Ownership” is asserted but required assets are unspecified.

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14

12. Have we reviewed the actual use and processing risks? — HARD GATE

A — 0: Data sensitivity, affected people and intended actions are unknown.

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15

What does the total mean?

Apply the hard gates first, then use the score as a preparation guide.

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16

What should the result page or internal note contain?

Write the total, gate status, three highest-priority gaps, owner and next evidence required.

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RESEARCH SELF-ASSESSMENT

Useful evidence.
Visible limits.

9/10buyer fit
8/10depth
9/10search terms
8/10sources

Practical, transparent instrument with auditable scoring and non-compensable blockers. Its validity is procedural rather than predictive, and that limitation is explicit.