Lesson 7 of 12
Structured learning draftResearch with Claude
In Claude Workflow Practice, the way a learner handles research shapes how Claude is used and evaluated. AI-assisted research is a source-led search and synthesis workflow. This intermediate lesson focuses on a decision or output that another person can inspect.
Learning objectives
- Explain research in the context of Claude Workflow Practice.
- Apply Claude to a bounded practical task.
- Evaluate the result using explicit quality criteria.
Research: from context to evidence
Research connects bounded input to a reviewed output in Claude Workflow Practice.
Define the purpose, intended user and Claude constraints.
Build a question matrix and inspect primary sources before synthesising.
Compare the observed result with a normal case, boundary case and stated limitation.
AI-assisted research is a source-led search and synthesis workflow. For Claude, distinguish performing an operation from demonstrating that it suits the stated purpose. Build a question matrix and inspect primary sources before synthesising. Record assumptions that could change the conclusion.
Apply research deliberately
- State the Claude Workflow Practice task and the decision it supports.
- Prepare a small Claude case with a known input and difficult boundary.
- Build a question matrix and inspect primary sources before synthesising.
- Compare the observed result with the expected behaviour and explain differences.
- Save the evidence, limitation and next action in a review record.
A worked Claude evidence path
A four-step worked example for applying research to Claude, including a boundary test and revision.
Preserve the original Claude case and expected result.
Confirm the basic path behaves as expected.
Expose an assumption in the research method.
Change the method, rerun both cases and record the limitation.
| Review point | Evidence |
|---|---|
| Purpose | The specific Claude outcome and intended user |
| Method | The research decision, input and version or context |
| Result | Observed output plus a checked boundary case |
| Limitation | What the result does not establish and the next safe action |
Common mistakes
- Using Claude before defining what research must achieve.
- Checking only the easiest Claude Workflow Practice example.
- Reporting a result without its input, assumptions or limitation.
Practice activity
Apply the lesson
For Claude Workflow Practice, complete a bounded Claude task demonstrating research. Keep the original input, numbered method, normal test, boundary test, observed results and a 100-word self-review naming one limitation and next improvement.
Check your understanding
In Claude Workflow Practice, which evidence best supports a research result produced with Claude?
Lesson summary
- For Claude Workflow Practice, research means: AI-assisted research is a source-led search and synthesis workflow.
- A credible Claude result includes a checked boundary, not only a successful example.
- The next lesson builds on this research evidence record.
Sources and further reading
- AI Risk Management Framework 1.0NIST - accessed 2026-08-21
- AI PrinciplesOECD - accessed 2026-08-21
Personal study note