Copilot Studio Agents: Discovery Tips

Key insights

• Discovery session: Focus on people and problems, not tools.
  Run a short facilitated workshop to surface the business pain, the users affected, and the desired outcome before any design or build begins.
  Good discovery reveals whether an agent will deliver real value or just replicate existing apps or flows.
• Copilot Studio agents: Decide when an agent is the right solution.
  Agents add value when tasks require grounded knowledge, multi-step actions across systems, or decision support rather than a single automated workflow.
  If the need is simple data entry or a linear flow, prefer an app or automation instead of an agent.
• Use case validation: Look for clear signals that justify agent design.
  Validate business impact, repeatability, data availability, and need for cross-system actions before advancing.
  Document user personas, success metrics, and the data sources that will ground the agent.
• Scoring and prioritization: Use a simple rating system to rank ideas quickly.
  Score candidates by impact, effort, risk, and data readiness to focus on high-value, low-risk pilots.
  Prioritize projects that are measurable and can be iterated on after an initial deployment.
• Handoff to build: Preserve discovery insights for makers and engineers.
  Capture journey maps, acceptance criteria, example prompts, allowed actions, and integration points so nothing is lost when development starts.
  Include testing scenarios and rollout constraints specific to channels like Teams or web.
• Baseline checklist: Use a short pre-build checklist to reduce failure.
  Confirm the problem statement, user persona, key data sources, required actions, test cases, and deployment channel constraints before opening Copilot Studio.
  This checklist helps teams move from ideas to reliable, governed agent builds.

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