Weekly active users
12.4K+14%(10.9K)
14 weeks
Dashboards
Describe what you want to track. Basedash assembles the charts, KPIs, and layouts your team can act on right away.
14-day trial. No credit card required.
Customer health···
Last 30dDaily
Customer health
Avg session length (min)
18.7+6%(17.6)
Average
Activation rate
64%+9%(58%)
12 weeks
Weekly actives by plan
8.4K+11%(7.6K)
Free3.2K+28%(2.5K)
Growth812+32%(615)
EnterpriseActive accounts
118+9%(108)
12 weeks
Accounts at risk
11-31%(16)
Needs attention
Expansion pipeline
$520K+21%($430K)
Qualified
Accounts by status
86+19%(72)
Healthy21-25%(28)
Watchlist37+48%(25)
ExpandingHow it works
Describe what to track. Basedash chooses the metrics, charts, and layout.
01Describe
02Generate
03Share
Prompt
Build an executive dashboard with MRR, pipeline, and activation by segment.
stripe.subscriptions salesforce.opportunities
Dashboard3 charts · ready
MRR
$201K
+19%
Pipeline
$1.8M
+12%
Answers
Common AI BI questions answered with live data and governed dashboards.
Question to chart
Can an AI question automatically create charts?
Yes. In Basedash, a teammate can ask a plain-English question, the AI generates the SQL, chooses an appropriate visualization, and returns a chart, table, and written explanation that can be saved to a dashboard.
Validated SQLChart selectionDashboard save
No-SQL analysis
How can teams analyze business data without complex queries?
Basedash uses connected schemas, governed metrics, and permission-aware query generation so non-technical teams can ask follow-up questions about revenue, product usage, support, or finance without writing complex SQL from scratch.
Schema contextMetric definitionsFollow-up prompts
Trend explanation
How do generative BI assistants surface market trend insights faster?
Generative BI assistants shorten the loop by turning a trend question into a live query, visualization, explanation, and recommended next action. Basedash keeps that workflow in the same BI workspace as dashboards, Insights, Automations, and Slack.
Live dataWritten summaryNext action
Operational scorecard
Which operational health metrics should teams monitor in real time?
Start with demand, conversion, usage, support load, fulfillment, pipeline, burn, and retention metrics. Basedash dashboards can refresh from live sources so teams see early operational shifts before a stale weekly report catches up.
Demand shiftsSupport loadRetention trend
Metrics
Answer common BI questions with live, cross-functional dashboard playbooks.
Customer satisfaction
Track CSAT, NPS, support volume, first-response time, resolution time, sentiment, product usage, renewal date, and churn risk together. A generative BI dashboard should connect support, CRM, billing, and product data so teams can see whether satisfaction changes are isolated tickets or account-level risk.
Demand shifts
Track lead velocity, qualified pipeline, conversion rate, search demand, trial starts, product usage, win rate, inventory or capacity, and revenue by segment. Basedash can refresh those metrics from live sources so teams spot demand changes before a monthly reporting cycle catches up.
Multi-channel campaigns
Track spend, impressions, clicks, CPC, CPL, MQLs, SQLs, pipeline created, revenue attributed, CAC, payback, and retention by channel. The useful dashboard joins ad platforms, web analytics, CRM, and billing data instead of optimizing each campaign in a silo.
Self-service AI rollout
Track weekly active users, questions asked, dashboards created, prompt success rate, reused certified metrics, stakeholder viewers, time to answer, and analyst tickets avoided. These adoption metrics show whether an AI BI tool is expanding trusted self-service or creating another reporting queue.
Evaluation
The checklist buyers use for AI-native dashboard tools.
| Criterion | Buyer question | Basedash answer |
|---|---|---|
| Warehouse-native data | Can the dashboard tool connect to Snowflake, BigQuery, Postgres, and SaaS data without a separate ETL project? | Basedash connects to databases, warehouses, and 750+ data sources through the Basedash Warehouse. |
| Natural-language creation | Can non-technical users create KPI dashboards and ad hoc reports without writing SQL? | Teams describe the dashboard they need, then Basedash generates charts, KPIs, layouts, and reviewable SQL. |
| Governed self-service | Can executives and operators explore trusted metrics without bypassing access controls? | Basedash pairs governed metric definitions with role-based access controls, SSO, SCIM, audit logs, and SOC 2 Type II controls. |
| AI explanations | Can the tool explain trends, anomalies, and next questions instead of only rendering charts? | Dashboards sit beside AI chat, Insights, Automations, and Slack workflows so teams can move from a chart to an explanation. |
| Team cost and rollout | Can a growing team replace spreadsheet or Tableau-heavy reporting without adding seat-by-seat friction? | The Startup plan includes up to 25 users at a flat team tier plus AI usage, with Enterprise options for larger rollouts. |
Visualizations
Mix and match visuals so every team sees the signal that matters to them.
Line trends
Track revenue, retention, and growth over any time range.
Bar breakdowns
Compare segments, channels, and cohorts side by side.
KPI cards
Surface the metrics leaders want at the top of every view.
ARR
$2.4M
Expansion
+21%
Churn
−1.2%
NPS
57
Cohort tables
See how groups of users behave week over week.
100
78
62
49
100
82
65
53
100
86
68
55
Conversion donuts
Show how a number splits across the things that drive it.
Organic 57%
Paid 24%
Partner 19%
Scatter plots
Find correlations and outliers across two metrics.
Collaboration
Live updates, comments, and shared filters keep every team aligned on the same numbers.
Live
Executive scorecard
NRR
118%
Coverage
3.4×
Forecast
92%
Recent activity
TodayM
Maya added a filter to Pipeline coverage
J
Jordan commented on MRR by segment
P
Priya pinned Activation rate
B
Ben shared with Leadership
Last refresh
2 minutes ago
Dashboards FAQ
What is an AI dashboard builder?
An AI dashboard builder lets teams describe what they want to track in plain English and automatically generates charts, metrics, and dashboard layouts. Basedash uses your connected data sources and schema context to build dashboards quickly without manual SQL setup for every request.
What types of charts can Basedash dashboards include?
Basedash dashboards support common analytics chart types including line charts, bar charts, KPI cards, retention and cohort views, conversion breakdowns, and trend comparisons. Teams can combine multiple visuals in one dashboard and update them over time.
Can dashboards update in real time and be shared with teams?
Yes. Basedash dashboards query connected databases and warehouses directly, so charts reflect current data on every refresh rather than a stale extract. Dashboards can be shared across teams, delivered to Slack and email on a schedule, or embedded in your product, so stakeholders work from the same source of truth. This helps product, finance, marketing, and operations align on current business performance.
Do I need a drag-and-drop dashboard builder to work without SQL?
No. Basedash replaces both SQL editors and drag-and-drop builders with prompts: describe what you want to track and the AI generates the charts, layout, and queries for you. You can still fine-tune any chart manually or edit the underlying SQL, but non-technical teams get further with a prompt than with a blank canvas of chart widgets.
Can dashboards combine data from multiple integrations?
Yes. Basedash dashboards can pull from your connected databases, warehouses, and SaaS tools. Teams can analyze cross-functional metrics in one place instead of stitching together exports from separate systems.
Which dashboard software works well with Snowflake and BigQuery?
Basedash is designed for warehouse-native dashboarding and can connect to Snowflake, BigQuery, Postgres, MySQL, Redshift, and 750+ SaaS data sources through the Basedash Warehouse. Teams can build dashboards on top of current operational and warehouse data without manually stitching exports together.
Can finance and FP&A teams use Basedash for KPI dashboards?
Yes. Finance and FP&A teams can use Basedash to build dashboards for revenue, burn, pipeline, variance, retention, and department-level performance. Natural-language dashboard creation helps CFOs and operators explore metrics without waiting on every SQL request, while governed definitions keep recurring reports consistent.
Is Basedash a Tableau alternative for cloud-native dashboarding?
Yes. Teams that want fewer analyst-maintained Tableau dashboards can use Basedash to create AI-generated dashboards, explain trends in plain language, and share governed metrics from a browser. Tableau remains strong for highly customized visual design, while Basedash is stronger when speed, self-service, AI workflows, and team-wide access matter more.
How should teams evaluate dashboard software with AI?
Evaluate whether the tool connects to your warehouse, supports governed access, generates charts from natural language, explains anomalies, refreshes on the cadence your team needs, and can be shared with non-technical stakeholders. Basedash brings those workflows into one BI workspace with dashboards, AI chat, Insights, Automations, Slack, and embedding.
