Use ChatGPT Work to turn product insights into a team action plan

2 min video2 key momentsWatch original

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TL;DR

ChatGPT Work analyzes product adoption data and customer feedback to convert vague usage metrics into specific team recommendations — here, building templates and launching a targeted campaign to boost site creation.

Key Insights

15% creation rate — Only 15% of people with Sites access actually start creating — the gap signals either discoverability or clarity, and customer feedback revealed it's the latter.

Need use-case examples — Customer feedback from Slack and Google Drive showed users don't understand what Sites are for and want examples tied to their own workflows.

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Deep Dive

The Problem

Leadership is deciding where to invest in Sites, a newly launched product for building interactive web apps. Initial market signals show low adoption — too few customers are trying it. The demo uses ChatGPT Work to analyze whether Sites resonates with customers and where effort should go.

Data Reveals the Gap

An analytics dashboard built in Sites itself shows a steep drop-off: only 15% of users with access start creating. The raw data indicates a problem but doesn't explain why. The presenter can't tell if users can't find Sites or don't understand its purpose — two problems requiring opposite solutions. So she asks ChatGPT Work to pull customer feedback from Slack and Google Drive to triangulate.

Customer Feedback Points the Way

The feedback clarifies the issue: customers are unsure what Sites are for and want examples tied to their own work. Based on this insight, two recommendations emerge: build templates around high-value use cases, and launch an enterprise campaign so promising customers see the potential. ChatGPT Work then drafts a Slack post summarizing the key insights and recommendations, ready for the team to edit and post.

Takeaways

✓Feed product data and customer feedback into ChatGPT Work together — raw metrics alone won't surface root cause.
✓Use ChatGPT Work to draft internal communications so insights get shared immediately, not buried in a spreadsheet.

Key moments

0:54The adoption bottleneck

“Only 15% of people will start creating who have access. The product usage data here is showing that people drop off here, but I actually can't tell if people just can't find sites or if they don't know what to use it for.”

1:32Customer clarity problem

“Customers are just unsure what sites are for and they want examples that relate to their own work.”

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