Zoom has integrated AI into their system, which includes automated notes, and since then, the number of meetings has reduced. What will you do?

Did we release any new feature? Yes, AI integration
Were there any bugs introduced into the system? Not aware
Were there any changes in the UI post AI integration? Yes, note taker tab gets added automatically when a call is in progress
Were there many call drops noticed during the meeting?
Was there any drop in the overall quality of the meetings - audio/ video/ emojis. etc.?
How good is the accuracy of the note taker?
Are users able to engage well with the new AI feature, which might have reduced the need for a meeting?

External factors -

Users might have privay concerns with AI recording the call for note taking?
- Did we inform users about the AI note taker feature before the release? No, as part of release note
Are there other competitors with the AI note taker feature?
- Do we know the user behaviour when they had launched it?
Are there any govt regulations against using these kind of features? No
Was there any internet issue over the past few days? No
Was there any negative PR regarding data privacy issue with introduction of AI? No
Have we received any user complaints?
- Has it increased recently? Yes
  - Do we have the split of reasons

Validation -

We need to check the call drop rate during meetings before and after the AI feature release. If the data is similar, then we can rule out this issue.

If we have the competitor launch trend analysis, then the trend might be similar for Zoom as well.

We can rule out the govt/ internet issues, since there are no such issues raised.

We need to analyse the complaints data and categorise them into major buckets and find out the big ticket items

If the AI usage has increased, then people don't feel the need for a meeting, as they get the meeting summary once the meeting is over

Next steps -

Short term -

Conduct a A/B testing with target group people having AI note taker removed and control group with the AI note taker feature. Check the meeting frequency. If it increases for the target group, it would justify that people have concerns with the AI feature.
In case of positive result, we need to check the AI feature adoption. If that is good, this would mean meetings are becoming redundant, then we don't need anything to do. But, if the AI feature adoption is low, then we need to educate our users about the data security issues and AI feature's effective usage through public blogs
In case of negative result, we need to reprioritise our roadmap and include the big tickets items from customer complaints into our roadmap for faster issue resolution.