Product analytics

Business intelligence built for product teams

Stop waiting on data team tickets. Basedash gives PMs and product leaders AI-powered dashboards, funnel analysis, and feature tracking — across every data source your team uses.

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Quick answer

Basedash is an AI-native BI platform built for product teams that need fast, self-serve analytics across their entire data stack — without SQL expertise or analyst bottlenecks.

Your product metrics, one prompt away

Describe what you want to see and Basedash builds the dashboard. Track funnels, adoption curves, and retention — all from your real data.

Activation funnel

Signed up 4,820

Completed onboarding 3,614

Created first project 2,410

Invited teammate 1,446

Converted to paid 723

Feature adoption

+93%

Week 1 Week 12

User retention

-55%

Week 1 Week 12

DAU / MAU

34%

Avg session length

8.2m

Time to value

4.1d

Why product teams struggle with traditional BI

Data scattered across tools

Product teams juggle Amplitude, Mixpanel, Heap, PostHog, and internal databases. Every question requires switching contexts, exporting CSVs, or waiting on a data team ticket.

Dashboard backlogs slow decisions

When every chart requires a SQL-literate analyst, product decisions stall. Feature launches ship without real-time visibility into adoption or impact.

Metric definitions drift

When 'active user' means something different in every tool and every team's spreadsheet, confidence in the numbers erodes fast.

Ask questions, get dashboards

Basedash translates plain-English product questions into governed queries and visual answers.

Feature adoption tracking

See how new features perform from day one. Track activation funnels, usage frequency, and retention curves without writing a single query.

"Show me adoption rates for the new onboarding flow by cohort"

Release impact analysis

Measure the before-and-after effect of every release on key product metrics. Correlate deploys with engagement, conversion, and error rates.

"Compare conversion rates 7 days before and after the v2.4 release"

User journey mapping

Understand how users navigate your product, where they drop off, and which paths lead to activation. Turn funnel data into actionable changes.

"What percentage of trial users complete onboarding within 48 hours?"

Cross-functional reporting

Give engineering, design, and leadership a shared view of product health. One source of truth for DAU, retention, NPS, and feature velocity.

"Build a product health dashboard with DAU, WAU, retention, and NPS"

Ask anything about your business

Get instant answers, uncover important trends, and make confident decisions faster.

Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing What should be on a performance dashboard for our account managers? Marketing List Google Ads campaigns and show CPC trends for each. Sales How many leads are currently close to closing? Engineering Find domains or metadata for a list of organizations from builder records. Sales Which organizations that have not converted to paid are the most active? Operations Give me a table of all new users with their signup source/medium. Product Which cohorts have the highest week-8 retention? Product What is our WAU/MAU and how is it trending? Marketing How many deals or opportunities are in our current campaign from a specific region? Operations Which tickets are trending by category and time to resolution? Sales Which accounts are likely to expand based on recent product activity? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Sales Who are the most engaged accounts in the last 14 days? Product Show onboarding conversion rate compared to last month. Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Marketing What is our CAC? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Engineering How many auth configs or connected accounts exist for provider X? Sales Which accounts are a churn risk? Sales What accounts had the largest expansions this quarter? Operations Show customers with at least two visits or repeat usage in the last month. Data & Analytics Trend key KPIs over time and flag abnormal spikes. Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing What should be on a performance dashboard for our account managers? Marketing List Google Ads campaigns and show CPC trends for each. Sales How many leads are currently close to closing? Engineering Find domains or metadata for a list of organizations from builder records. Sales Which organizations that have not converted to paid are the most active? Operations Give me a table of all new users with their signup source/medium. Product Which cohorts have the highest week-8 retention? Product What is our WAU/MAU and how is it trending? Marketing How many deals or opportunities are in our current campaign from a specific region? Operations Which tickets are trending by category and time to resolution? Sales Which accounts are likely to expand based on recent product activity? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Sales Who are the most engaged accounts in the last 14 days? Product Show onboarding conversion rate compared to last month. Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Marketing What is our CAC? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Engineering How many auth configs or connected accounts exist for provider X? Sales Which accounts are a churn risk? Sales What accounts had the largest expansions this quarter? Operations Show customers with at least two visits or repeat usage in the last month. Data & Analytics Trend key KPIs over time and flag abnormal spikes.

Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Operations Filter paid organizations and show their current usage details. Product Show retention by cohort and first-usage month. Operations Which customers are running into more bugs recently? Engineering Make table links open detailed views in our admin tool. Engineering Fetch IDs created in a given month for a specific provider or integration. Marketing What is our blended cost per lead and cost per acquisition by channel? Operations Which customers have open issues tied to performance or reliability? Data & Analytics Show me revenue and subscription growth. Sales List all workspaces with an upcoming renewal in the next month. Engineering Show recent error logs and users impacted in the last week. Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing Which campaigns or channels drove the most leads and conversions this month? Sales Which opportunities are stuck beyond the expected stage duration? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Engineering What are the most common errors this month, and what endpoints are causing them? Product Identify the magic moment that predicts long-term engagement. Product Did anything else spike when a specific feature usage increased? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Product Which features correlate most with conversion to paid? Engineering Which services or endpoints have the highest error rates this week? Operations Surface users who recently hit errors or experienced slow response times. Product Are there any features we added recently that increased engagement? Engineering Which SDK versions or app versions are most error-prone? Marketing Which categories or segments contributed the most revenue or transactions? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Operations Filter paid organizations and show their current usage details. Product Show retention by cohort and first-usage month. Operations Which customers are running into more bugs recently? Engineering Make table links open detailed views in our admin tool. Engineering Fetch IDs created in a given month for a specific provider or integration. Marketing What is our blended cost per lead and cost per acquisition by channel? Operations Which customers have open issues tied to performance or reliability? Data & Analytics Show me revenue and subscription growth. Sales List all workspaces with an upcoming renewal in the next month. Engineering Show recent error logs and users impacted in the last week. Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing Which campaigns or channels drove the most leads and conversions this month? Sales Which opportunities are stuck beyond the expected stage duration? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Engineering What are the most common errors this month, and what endpoints are causing them? Product Identify the magic moment that predicts long-term engagement. Product Did anything else spike when a specific feature usage increased? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Product Which features correlate most with conversion to paid? Engineering Which services or endpoints have the highest error rates this week? Operations Surface users who recently hit errors or experienced slow response times. Product Are there any features we added recently that increased engagement? Engineering Which SDK versions or app versions are most error-prone? Marketing Which categories or segments contributed the most revenue or transactions?

All your data in one place

Connect your own warehouse, or use Basedash Warehouse to visualize all your data in one place.

See all 750+ integrations

Basedash vs traditional BI for product teams

Why product teams are moving from legacy dashboarding to AI-native analytics.

Capability	Basedash	Traditional BI
AI-generated dashboards	Yes	No
Natural language queries	Yes	Limited or none
Connect product + business data	750+ sources	Siloed by tool
Time to first dashboard	Minutes	Hours to days
Self-serve for PMs	Yes — no SQL needed	SQL or analyst dependency
Governed metric definitions	Built-in business context	Tribal knowledge
Custom alerts and automations	Yes	Manual or limited

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Product analytics FAQ

What is business intelligence for product teams?

Business intelligence for product teams means having self-serve access to product analytics, user behavior data, and cross-functional metrics in one place. Instead of depending on analysts or data engineers for every question, PMs and product leaders can explore data, build dashboards, and track feature performance directly.

How does Basedash compare to Amplitude or Mixpanel for product analytics?

Amplitude and Mixpanel are event-based product analytics tools that require instrumentation and a specific data model. Basedash connects to your existing databases and warehouses — plus tools like Amplitude — so you can combine product events with revenue, support, and operational data in one view. AI-generated dashboards mean you get answers in minutes, not sprint cycles.

Can non-technical product managers use Basedash?

Yes. Basedash is designed for product managers who want answers without writing SQL. Ask questions in plain English, and Basedash generates the queries, charts, and dashboards for you. Technical users can still access and customize the underlying SQL when needed.

What data sources can product teams connect?

Basedash supports 750+ integrations including PostgreSQL, Snowflake, BigQuery, Amplitude, Mixpanel, Segment, Stripe, HubSpot, and more. Connect your product database alongside your analytics and business tools for a complete picture.

How fast can a product team get started with Basedash?

Most product teams are up and running in under 30 minutes. Connect your data source, describe what you want to track, and Basedash generates your first dashboard. No schema modeling, no ETL pipelines, no waiting on engineering.

Get started in under 30 minutes

We can help you migrate your data and dashboards from any other tool.

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