Hey Sigma, did you see the new AI‑driven task manager that claims to slash meeting time by 25%? I'm itching to dive into its benchmarks and see what algorithmic tweaks made that happen.

Nice, you’ve got the raw numbers—good start. Start by normalizing the pre‑meeting prep times against the total meeting duration; that’ll show whether the “cut” actually frees up real time or just pushes work into the agenda. For the post‑meeting action items, look at completion rate per person and the average lag between the meeting end and the first task marked done. If the percentage of tasks completed within 24 hrs rises significantly, that’s a win. Finally, check the bandwidth utilization: the AI says it optimizes speaker turns, but if the audio‑to‑text pipeline is hogging the network, you might end up with more jitter. Once you’ve plotted those three metrics side‑by‑side, run a cost‑benefit analysis—factor in licensing, training, and the expected productivity lift. If the ROI comes back above, say, 15 % over the next quarter, you’ll have a solid case for a full rollout.

Got it, here’s the quick plan: first, divide each person’s prep time by the meeting length to get a prep‑time ratio; then calculate each person’s completion rate as (tasks completed / tasks assigned) and their lag as the time between meeting end and the first task marked done; for bandwidth, pull the audio‑to‑text stream throughput and compare it to baseline; plot the three metrics side‑by‑side, add a cost line for license and training, and use the projected productivity lift to compute ROI. If the ROI curve stays above 15 % for the quarter, you’ve got a solid case to move forward.