Available with: Copilot for Sales and Copilot Studio
Marketing scenario: Collect and share product feedback
Scenario
Help collect and analyze customer feedback to guide product development activities and update product roadmaps.
Use Microsoft Copilot to summarize customer interviews, email interactions, and documents about product feedback, enriched with data from your Customer Data Platform with Copilot Studio agents.

Copilot Studio Agent
Benefit: Be present during your customer interview by relying on Copilot to summarize feedback points and takeaways.
Use Copilot in Outlook to send a timely and thorough follow up email, capturing your earlier interview notes.

Copilot for Sales

Copilot in Outlook
Benefit: Thank customers by asking Copilot in Outlook to draft a response and drop in bullets from the Copilot meeting summary.
Use Copilot to identify feedback themes from across meeting summaries and notes. Create a follow up survey with Copilot in Microsoft Forms.
Microsoft 365 Copilot Chat2

Copilot in Whiteboard
Benefit: Simply describe to Copilot the form you’d like to build, and a well-designed draft will be generated, making it easier than ever before to gather feedback.
Use Copilot in Excel to sort and analyze data gathered from the surveys and website metrics.

Copilot in Excel
Benefit: Identify insights with Copilot in Excel.
Use Copilot in PowerPoint to create a slide deck to share with the leadership and engineering teams. Use Copilot in Teams to capture action items and feedback.

Copilot in PowerPoint

Copilot in Teams
Benefit: Creating a presentation makes it easier to convey a clear message especially when it’s critical feedback on your product.
Starting a new email, prompt Copilot in Outlook to draft a message to all key stakeholders with the results and path forward.

Copilot in Outlook
Benefit: Save time preparing emails with Copilot as your drafting partner.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
What's next
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