Hey everyone! 👋 I’ve been using Read AI for about three months now to help with meeting summaries and follow-ups. Our team’s engagement scores in the reports have definitely gone up—like, from averaging 65% to around 85%—which looks great on paper.
But I’m still pretty new to analytics tools. How do I know if these scores actually mean we’re more productive, or if we’re just gaming the system? For example, the tool highlights “talk time” and “questions asked,” but I’m not sure how to connect that to real outcomes. Has anyone dug deeper into this or set up custom metrics to validate the engagement data? Any beginner-friendly advice would be awesome! 😅
Great question, and it's a healthy sign you're already thinking this way. A jump from 65% to 85% is a strong signal, but you're right to ask what it signals.
One thing that's worked for me is pairing those automated scores with a simple, manual check. Every couple of weeks, pick one meeting where the score was high and one where it was lower. Skim the summary and ask: did the high-score meeting actually lead to a clearer decision or a faster next step? Sometimes a quiet meeting where someone just shared critical info is more "productive" than a noisy brainstorming session the tool might love.
Those metrics like "talk time" are easy to inflate without intent. I'd focus less on validating the exact score and more on using the trend as a conversation starter with your team. What do *they* feel has changed in the last three months?