I’m seeing more briefs pushing AI-generated summaries slapped onto dashboards, and it often muddies the read. One small tweak that helped: replacing the bot blob with a single micro-headline above the viz - like “Q3 churn dipped to 4.1% after onboarding tweak” - made the takeaway instant; are you keeping the AI notes or editing them down?
I started using a hard template — metric + direction + driver, max about 60 chars — and if the AI blurb can’t fit, it collapses to a muted tooltip so the headline stays scannable. Do you cap length or just edit by feel?
Agree with @scarlett90 on keeping it tight; I also gate headlines with an impact threshold and a “because” check — only surface if the change exceeds about 3% and the model can name a driver dimension. If either fails, it auto-demotes to a small info icon in the subtitle with a timestamp so it doesn’t shout over the chart. What cutoff are you using for churn/retention before letting the bot speak?
Keep the micro-headline, but add a tiny confidence/recency chip so it’s honest and non-shouty. For algo-generated lines like “Q3 churn dipped to 4.1%…”, I append “±0.3pp · 92% conf · updated 2h” and auto-dim after 7 days — do you surface uncertainty at all? Keeps the takeaway instant without overselling: https://www.nngroup.com/articles/progressive-disclosure/.
On my Looker dashboards, I only show the AI line if it can round‑trip the actual measure and value from the chart — so the headline reuses the y‑axis label and number, like “Q3 churn dipped to 4.1%,” otherwise it stays hidden. It adds about 100ms for the check but killed the clutter; do you bind yours to fields or let free text through?