An AI agent analyzes every corner of your data every day — and hands you a personal feed of the things that actually matter.
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Insights are daily highlights automatically generated from your data each day.
May 1, 2026
Across the last 90 days of self-serve trials, the share that converted to a paid plan drops sharply once team invites slip past the first hour. Trials that never invite a teammate convert at less than half the rate of trials that invite within an hour, regardless of plan size or company industry.
Apr 30, 2026
Sessions from mobile devices were roughly a third of weekly traffic at the start of the year. They have climbed every month since, and last week mobile accounted for 47% of total sessions for the first time.
Apr 29, 2026
Of the trials that ended in April without converting to a paid plan, more than half stopped after connecting a single data source. Trials that connected two or more sources converted at almost three times the rate of single-source trials.
Apr 28, 2026
Median first-response time on support tickets fell from 3.4 hours to 52 minutes within ten days of launching the new help center, and has stayed comfortably below the one-hour mark every day since.
Every night, an AI agent analyzes your data. Every morning, one insight arrives.
01Connect
02Analyze
03Deliver
Onboarding completion dropped 18% this week
Step 3 saw the largest decline. Users who skip churn 4.2× faster within 14 days.
The AI agent explores product, revenue, marketing, support, and ops — surfacing what matters most.
Spot friction in onboarding, activation, and feature adoption before it hits retention.
Track milestones, expansion revenue, and churn risk across customer segments.
Measure campaign performance, ad spend efficiency, and channel attribution automatically.
Surface error spikes, support trends, and user-reported problems tied to product changes.
Celebrate and contextualize the business milestones worth telling the whole team about.
Monitor infrastructure, pipeline health, and internal process metrics across teams.
Every insight comes with context, evidence, and concrete next steps.
Step 3 of the setup flow — connecting a data source — saw the largest decline. Users who skip this step churn at 4.2× the normal rate within 14 days. This is the biggest week-over-week regression in onboarding since October.
Completion rate
Users affected
Churn correlation
Recommended actions
Review step 3 UX copy and error states for confusing language
Check if recent schema changes broke auto-detection for common databases
A/B test an inline help tooltip showing example connection strings
Read insights in Basedash, or get pinged the moment something important surfaces.
Today's insight is ready.
High priority · Funnel
Onboarding completion dropped 18% this week
Step 3 of setup — connecting a data source — saw the largest decline. Users who skip are 4.2× more likely to churn within 14 days.
Basedash <[email protected]>
Good morning,
Your insight for today is ready. Here's what surfaced overnight:
High priority
Onboarding completion dropped 18% this week
Step 3 — connecting a data source — saw the largest decline. Users who skip it churn at 4.2× the normal rate within 14 days.
Insights is an AI-generated feed of the most important things happening in your data. Instead of manually checking dashboards, you open Insights to see what changed, why it matters, and what to do next. Think of it as a daily briefing from a data analyst who has access to everything.
Basedash generates new insights every day by default. The AI agent runs a comprehensive analysis across all your connected data sources and surfaces the findings that are most relevant to your business.
Insights work with any data source connected to Basedash, including PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, and 750+ SaaS tools via Fivetran. The more data you connect, the richer your insights become.
The AI agent analyzes trends, anomalies, correlations, and milestones across your data. It prioritizes findings based on magnitude of change, potential business impact, and relevance to your team's goals. Over time, it learns what matters most to you.
Yes. Insights runs daily anomaly detection across every connected data source, flagging unexpected spikes, drops, and trend breaks along with an AI-written explanation of what changed and why it matters. Alerts can be delivered to Slack or email, and Automations can trigger custom analysis when specific data changes — so metric anomalies reach the right team without anyone watching a dashboard.
Yes. You can enable email or Slack notifications for new insights directly from the Insights page. For custom scheduled analysis, you can also set up Automations to deliver AI-generated reports on a cadence you define.
Insights are proactive — the AI decides what to analyze and what to surface. Automations are workflows you configure with specific prompts, triggers, and delivery channels. Insights is your always-on data analyst; Automations are the custom reports you define.