KLD Institute
Template library

Learner worksheet

Observation and Product Decision Sheet

A worksheet for reading a designed thing or product screen through human observation, AI critique, accept/adapt/reject judgment, and a first product decision.

Output standard

One evidence-backed product decision sentence with a visible AI integrity trail.

Use when

Use in Sessions 1-2 before asking the learner to design or critique.

Related sessions

Worksheet fields

Use this early in the course when the learner is still building the habit of seeing design as help for a person doing a task.

The sheet should keep observation, interpretation, AI output, and human judgment separate. The learner should mark what is visible before deciding what should change.

Fields to complete
  • Artifact or screen being reviewed
  • User
  • Task
  • Context
  • What appears first, second, third
  • Helpful design decision
  • Friction or confusion point
  • Visible evidence
  • Assumption
  • Vague AI prompt
  • Likely vague AI output
  • Structured AI prompt
  • Stronger AI output
  • Accepted AI suggestion
  • Adapted AI suggestion
  • Rejected AI suggestion
  • Revised product/design decision

Quality check

The final sentence should be specific enough for a team to act on, and the AI trail should show what the learner controlled.

Check before accepting
  • User and task are specific, not generic.
  • Observation describes what is visible.
  • Friction is linked to user progress.
  • Vague AI output is used as a contrast, not accepted as the answer.
  • Structured AI output is checked for evidence and uncertainty.
  • Accept/adapt/reject notes include reasons.
  • Decision says what to improve first, why, and what not to change yet.
  • Assumptions are not presented as evidence.

Quality benchmark

Use these quality levels to calibrate the artifact before submitting or showing it. The goal is not longer writing; the goal is better evidence and clearer judgment.

Check before accepting
  • Weak: AI says the design is good, or the answer stays at taste language such as clean, modern, nicer, or better colors.
  • Better: the answer names user, task, friction, and one improvement, but the AI trail or tradeoff is still thin.
  • Strong: the answer connects user, task, evidence, AI curation, uncertainty, decision, and tradeoff in a way a team could discuss.

Starter prompt

Use AI as a study partner, then check its output against the visible artifact.

Starter prompt
I am studying beginner product design.

Object or screen I am looking at:
[describe it here]

Please help me analyze it in simple English.
Return:
1. User: who is this for?
2. Task: what is the person trying to do?
3. Context: where or when might they use it?
4. Helpful decisions: what makes the task easier?
5. Friction: what could confuse, slow, or worry the user?
6. Evidence: what can I point to in the object or screen?
7. Product decision: one improvement I would choose first, and why it matters.

Rules:
- Do not redesign the whole thing.
- Give two possible improvements, then recommend one.
- Tell me what you are uncertain about.
- Use plain language suitable for a new learner.