Every learning project starts somewhere.
Choose a fictional stakeholder request. The agent's job is to organize the problem—not automatically assume that another course is the answer.
These sample notes are editable for exploration. The illustrative AI output uses the selected scenario, not the edited text.
What a good needs analysis should uncover
- What is happening now—and what should happen instead?
- Who is affected, and how do we know?
- Is the root cause knowledge, process, tools, motivation, or something else?
- What evidence and constraints are missing?
- How will we know the solution worked?
From scattered notes to a working hypothesis.
The agent organizes what is known, identifies unknowns, and suggests questions to validate. This output is a draft, not a final diagnosis.
What the stakeholder said
Unstructured inputDraft needs analysis
AI-generated example · Unverified- Performance gap
- Possible causes
- Validation questions
- Potential interventions
AI can draft. A designer still decides.
Check each quality gate you would complete before recommending a learning solution. These optional quality checks show how I review an AI-generated draft before recommending a solution. You can continue at any time.
Spot the risky recommendation
“The team is making mistakes, so everyone needs a mandatory 60-minute eLearning course.”
Assumption detectedA course might help—but the evidence doesn't yet show that lack of knowledge is the cause. A needs analysis should test that assumption before committing to a format.
0 of 4 review checks completed.
A learning plan—not just a course outline.
Here's what a responsible next step could look like. This is a provisional plan pending stakeholder validation.
- Discovery
- Proposed response
- Evidence of success
- Owner / next checkpoint
- Learning designer + process owner: validate root causes and agree on a pilot before full development.
What this demonstrates
- Performance consulting: Start with the business problem.
- AI workflow design: Structure messy inputs into useful drafts.
- Critical evaluation: Question assumptions and verify evidence.
- Project planning: Translate findings into decisions and measurable next steps.