Evidence stage · Module 4 of 15
Outcome for this lesson
Test a specific problem and offer with behavioral evidence before committing to development.
Bring forward: Bring the evidence memo from Module 3.
Produce: A validation record containing five interviews or observations, one honest offer test, a threshold, and a continue/change/stop decision.
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Recommended prerequisite: complete Module 3, “Research with AI Agents: Find, Compare, and Cite Evidence,” and bring its artifact. You may still use this page as a reference.
Evidence stage
Build the next result
Desk research can reveal a trail, but it cannot prove that a specific person will act. This module tests the problem and the smallest honest offer before development consumes more time or money.
Your result for this module
A validation record containing five interviews or observations, one honest offer test, a threshold, and a continue/change/stop decision.
Continuous case study
Worked example: Seven-day validation test
The freelancer tracker team interviews five qualified freelancers, asks about the last missed follow-up, offers a manual weekly follow-up review, and predeclares: continue only if at least three describe the problem and two accept the next step.
Do the work
Define the testable offer
Name the audience, recurring problem, smallest result, delivery method, price or commitment, and what does not yet exist.
Interview recent behavior
Ask about the last occurrence, current workaround, frequency, cost, and attempted solutions. Avoid asking whether the idea sounds good.
Run one honest smoke or concierge test
Offer a manual or limited version transparently. Do not imply unfinished software is available.
Apply the threshold
Compare results with the predeclared continue, change, and stop conditions. Record the decision even when it is disappointing.
Copy-and-complete template
Create your module artifact
Audience and problem: Smallest honest offer: Five interview or observation references: Meaningful next step: Continue threshold: Change threshold: Stop threshold: Observed result: Decision and reason:
Keep sensitive information, passwords, API keys, payment data, and private customer details out of course notes and AI prompts.
Quality gate
Check the result before the quiz
- Evidence comes from the intended audience.
- Questions focus on past behavior.
- The offer’s stage is disclosed.
- The decision follows the written threshold.
How this moves the project forward
Module 5 uses the validated job and data boundary to choose a suitable AI approach.
Evidence checkpoint and lesson summary
Confirm the artifact, then answer the key questions
The questions cover a core idea, a realistic decision, and evidence from the lesson. Incorrect answers identify concepts to review; they are not a complete measure of your experience or ability.
Confirm the artifact and answer all three questions correctly to unlock the recommended next step.
Continue to Module 5: Choose Cloud, Local, or Hybrid AI for the Validated Job