Introducing Basedash Suggestions

Today we’re launching Basedash Suggestions, so your AI data analyst can now bring you ideas of its own.

When you open Basedash, you’ll find personalized suggestions where a blank input used to be: questions worth asking about your data, dashboards worth building, automations worth scheduling. They’re generated for you from the data sources you’ve connected, the chats you’ve had, and the dashboards you’ve already built. Click one, and the analysis starts.

Why we built it

Every BI tool starts you on a blank page. The empty input, the “create dashboard” button, and the blinking cursor all assume you already know what to ask. But knowing which question is worth asking is the hardest part of working with data, and it’s the part a good analyst is supposed to help with.

A great analyst brings you ideas without waiting to be asked: “your paid social numbers did something weird last week, want me to dig in?” We taught Basedash to do the same.

Suggestions are generated from your own context: the tables in your connected sources, what you and your team have been asking in chat, the dashboards and automations you’ve already set up, plus your role and your workspace’s custom AI context. Connect Stripe and a Postgres database full of orders, and you’ll see revenue and order questions. Connect your ad platforms, and dashboards for ad performance start showing up. Everyone on your team sees different suggestions, because everyone’s context is different.

Questions worth asking

On the chat home, suggestions appear right under the input. They’re specific to your data, like “Which channels drove last week’s order spike?” or “How is repeat purchase trending by cohort?” One click sends the question, and the agent explores your schema, writes and verifies the queries, and answers with the chart to back it up.

They also stay fresh. Use a suggestion or dismiss it and a new one takes its place, generated with everything Basedash has learned since, including the analysis you ran a moment ago. The list regenerates throughout the day, so new questions keep appearing.

Dashboards worth building

The dashboards page used to offer a fixed set of templates, our best guesses at what a generic company might want. We’ve replaced them with dashboard suggestions generated from your data, each with a name, a description, and a full build plan behind it.

If your workspace is full of marketing data, you’ll see things like “Ad performance: spend, CPA and ROAS across every channel.” Click it and the dashboard agent builds the whole thing: the charts, the layout, the queries underneath.

Automations worth scheduling

The same goes for automations. Instead of fixed templates, Basedash suggests the recurring reports it thinks you’d want, like “Low stock alerts” for an ops-heavy workspace, “Weekly revenue recap” for a founder, or “Notable signups” for a sales team. One click configures the automation: what it checks, when it runs, and where it delivers, including straight to Slack.

How we use it at Basedash

We’ve been using Suggestions internally for a few weeks, and it’s changed how we start our days. About half of our new dashboards now begin from a suggestion instead of a written prompt. Because suggestions learn from recent chats, they’ve also caught things we weren’t looking for. A churn question suggested the week after a pricing change surfaced an anomaly we’d have found much later on our own.

Getting started

Suggestions is rolling out to all Basedash workspaces today, on every plan. There’s nothing to configure:

1. Sign up for Basedash (or log in) and connect a data source
2. Open the chat home, where your first suggestions will be waiting under the input
3. Check the dashboards and automations pages for personalized templates
4. If you don’t like one, dismiss it, and a better idea takes its place

The more chats, dashboards, and automations you create in Basedash, the sharper the suggestions get.

What’s next

Business intelligence has always left the hardest part to you: figuring out what to look at. With Suggestions, chat, dashboards, and automations all start with the analyst’s ideas instead of a blank page.

Suggestions is live today for every Basedash workspace.