Basedash Suggestions - Your AI data analyst, now with ideas of its own.
Basedash now suggests the analysis before you ask. It studies your connected data, your past chats, and the dashboards you've built, then generates personalized suggestions — questions worth asking, dashboards worth building, automations worth scheduling. Click one and the work starts. Used ideas are replaced with fresh ones, so the well never runs dry. Every suggestion is generated per person, for growth, finance, and ops alike. No more blank page. Your analyst makes the first move.
Replies
How do you balance suggesting high-value analyses without overwhelming users with too many options?
The suggestion-quality trap I keep hitting building this kind of proactive agent is anchoring: a plausible suggested question quietly becomes the one people run, even when it's a slightly wrong cut of the data. Nobody second-guesses a suggestion the way they'd re-frame their own blank-page query. Do you surface the join and filter path behind a suggestion inline, so someone can catch a wrong grain before they act on the number, or does that live a click away?
The natural language to chart flow feels really well thought out, especially how it lets you iterate without throwing you back into a blank canvas each time.
Would be great if it also pre-generates and suggests the actual chart, in addition to the text, to make it more visual.