The short version
Add context to improve performance. Claude can follow an instruction more intelligently when it understands the reason or motivation behind it. Context helps the model infer priorities and generalize beyond the exact wording of the instruction.
Editorial analysis
The useful lesson is not a single prompt formula. It is a way to reduce ambiguity: state the outcome, supply only the context that changes the answer, demonstrate the pattern when format matters, and test whether the result remains reliable across several inputs.
A useful way to read this study is as a decision guide: identify the problem it solves, the conditions where it works, the tradeoffs it introduces, and the evidence you would need before relying on it.
Source context
Source article: Claude Prompting Best Practices
Key concept
Add context to improve performance. Claude can follow an instruction more intelligently when it understands the reason or motivation behind it. Context helps the model infer priorities and generalize beyond the exact wording of the instruction.
How it works
Think of Claude as a very capable new colleague. Saying what to do gives it a task; saying why the task matters gives it judgment. The useful context is not extra background for its own sake. It is the reason that should change how the task is performed.
A simple mental model is:
Instruction + Why it matters → Better interpretation → Better targeted output
Before adding context, ask: *Would knowing this reason change how a smart colleague handles the task?* If yes, include it.
Practical work example
Imagine you want Claude to review a financial-services report before a manager meeting.
Instruction only:
Review this report and highlight issues.
This tells Claude the action, but not what counts as an important issue.
With useful context:
Review this report for a manager preparing for a client discussion. The goal is to identify issues that could change the next action, so prioritize material exceptions, explain why each matters, and separate confirmed facts from items needing follow-up.
The second prompt gives Claude a reason for prioritization. It can now make better choices about what deserves attention.
Weak vs strong prompt
Weak
Make this table easy to scan.
Improved
Make this table easy to scan because a manager will use it during a short meeting to identify items requiring follow-up. Put the most decision-relevant information first and make exceptions visually easy to identify.
What changed? The instruction stayed similar. The added motivation explains what “easy to scan” means in this situation.
Context test
When a prompt feels underspecified, check three questions:
- What am I asking Claude to do?
- Why does this matter?
- What decision or outcome should the output support?
Avoid unrelated background. More context is not automatically better context.
Try it in practice
Improve this prompt by adding one sentence of useful motivation:
Summarize these project updates.
Try to make the reason change Claude's priorities. For example, decide whether the summary is for a manager choosing next week's priorities, a colleague returning from leave, or a project team looking for blockers.
Implementation checklist
- I explain *why* when the reason should change Claude's judgment.
- I connect the task to an audience, decision, or desired outcome when useful.
- I distinguish useful motivation from irrelevant background.
- I can ask: “Would this context help a smart new colleague make a better decision?”
Canva
The Canva presentation generation step could not complete in this automated session because Canva requires an interactive visual-reference confirmation before generating a new presentation. The prepared deck is a 9-slide warm Claude-inspired study-notebook design covering this exact lesson. No Canva edit/view URL exists yet because Canva did not create the design.
Next session
Use examples effectively — how a few carefully chosen examples can steer format, tone, structure, accuracy, and consistency.