Module 01: What Microsoft Copilot Is
Lesson 01.5: How Copilot Uses Context
Lesson Promise
Understand why context quality drives Copilot answer quality.
Real-World Scenario
A learner gives a vague prompt and gets generic advice, then adds audience, source, constraints, and examples and gets useful work.
Core Concept
Context can include your prompt, selected text, uploaded files, open app content, meeting or email context, work data, web results, or agent knowledge depending on the experience.
The more clearly you define source boundaries, audience, goal, and output format, the easier it is to review the result.
Step-By-Step Workflow
- State the goal.
- Name the audience and situation.
- Provide or reference approved sources.
- Set format, tone, length, and constraints.
- Ask for assumptions and missing information.
- Verify output against source boundaries.
Prompt Lab
Bad Prompt
Summarize this.
Better Prompt
Summarize this for an executive who needs decisions, risks, owners, and next steps.
Expert Prompt
Use this context stack for the task: goal, audience, background, approved sources, excluded sources, constraints, output format, tone, decision needed, assumptions to flag, and verification checklist.
Hands-On Exercise
Rewrite three vague prompts using the context stack.
Deliverable
A context-stack prompt template.
Copilot Mental Model Checklist
Common Mistakes
- Using 'Copilot' as one product name for many different experiences.
- Assuming web-grounded chat and work-grounded Microsoft 365 Copilot behave the same.
- Comparing AI tools with fixed claims that may become outdated.
- Expecting Copilot to replace policy, expertise, or business accountability.
- Forgetting that context quality determines output quality.
Quiz / Checkpoint
What is source boundary context?
A clear statement of what Copilot may use, what it should ignore, and what must be verified.
Official Sources To Verify
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