Engineering analytics

Engineering intelligence, not just dashboards

DORA metrics, incident tracking, infrastructure costs, and pipeline health — all from AI-generated dashboards connected to your engineering tools.

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Quick answer

Basedash gives engineering teams AI-native dashboards for DORA metrics, incident tracking, infrastructure costs, and pipeline health — connecting GitHub, Jira, cloud providers, and your database in one platform.

Your engineering metrics, live

Real-time visibility into the metrics that drive engineering performance.

Deploy frequency

4.2/day

+18%

Incident MTTR

23 min

-31%

API p99 latency

142ms

-12ms

Error rate

0.03%

-0.01pp

Sprint velocity

42 pts

+6 pts

PRs merged / week

Ask your engineering data anything

From deployment velocity to cloud costs, get answers in plain English.

Engineering velocity tracking

Track deployment frequency, lead time, cycle time, and throughput across teams. Combine GitHub, Jira, and CI/CD data for a complete velocity picture.

"Show me deployment frequency and lead time for change by team over the last quarter"

Incident and reliability dashboards

Monitor MTTR, incident frequency, error rates, and SLA compliance. Correlate incidents with deployment events to identify patterns.

"Which services had the most incidents last month and what was the average time to recovery?"

Infrastructure cost analysis

Track cloud spend by service, team, and environment. Identify cost anomalies and optimize resource allocation with AI-generated insights.

"Break down our AWS costs by service and show month-over-month trends"

Data pipeline monitoring

Monitor ETL job health, data freshness, and pipeline latency. Get alerts when data quality degrades or pipelines fall behind.

"Which data pipelines have had failures in the last 7 days and what was the impact?"

Built for engineering teams

Basedash understands how engineering teams work — and what they need from analytics.

SQL-first, but not SQL-only

Engineers can write raw SQL or let the AI generate it. Non-technical stakeholders asking about engineering metrics get the same quality answers without writing queries.

Connect everything

Combine data from GitHub, Jira, PagerDuty, Datadog, AWS, your application database, and 750+ other sources into unified engineering dashboards.

API and embedding support

Embed Basedash charts in internal tools, Notion, or your team's dashboard screens. Use the API to programmatically create and update dashboards.

Self-hosting available

Run Basedash on your own infrastructure for teams with strict data residency or compliance requirements. No data leaves your network.

Custom metric definitions

Define DORA metrics, SLO calculations, and team-specific KPIs once. The AI uses these definitions consistently across all queries and dashboards.

Automated weekly reports

Schedule AI-generated engineering reports delivered to Slack or email. Track trends without manually building slides or spreadsheets.

Ask anything about your business

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

Engineering What are the most common errors this month, and what endpoints are causing them? Operations Which customers are running into more bugs recently? Product Did anything else spike when a specific feature usage increased? Engineering How many auth configs or connected accounts exist for provider X? Engineering Find domains or metadata for a list of organizations from builder records. Engineering Which SDK versions or app versions are most error-prone? Product Show onboarding conversion rate compared to last month. Sales Which accounts are a churn risk? Marketing What should be on a performance dashboard for our account managers? Sales How many leads are currently close to closing? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Marketing List Google Ads campaigns and show CPC trends for each. Engineering Fetch IDs created in a given month for a specific provider or integration. Sales What should a sales-facing dashboard include for quick qualification and follow-up? Product Show retention by cohort and first-usage month. Engineering Make table links open detailed views in our admin tool. Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Product Which features correlate most with conversion to paid? Operations Surface users who recently hit errors or experienced slow response times. Marketing What is our blended cost per lead and cost per acquisition by channel? Sales What accounts had the largest expansions this quarter? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Product Which cohorts have the highest week-8 retention? Operations Filter paid organizations and show their current usage details. 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? Operations Which customers are running into more bugs recently? Product Did anything else spike when a specific feature usage increased? Engineering How many auth configs or connected accounts exist for provider X? Engineering Find domains or metadata for a list of organizations from builder records. Engineering Which SDK versions or app versions are most error-prone? Product Show onboarding conversion rate compared to last month. Sales Which accounts are a churn risk? Marketing What should be on a performance dashboard for our account managers? Sales How many leads are currently close to closing? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Marketing List Google Ads campaigns and show CPC trends for each. Engineering Fetch IDs created in a given month for a specific provider or integration. Sales What should a sales-facing dashboard include for quick qualification and follow-up? Product Show retention by cohort and first-usage month. Engineering Make table links open detailed views in our admin tool. Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Product Which features correlate most with conversion to paid? Operations Surface users who recently hit errors or experienced slow response times. Marketing What is our blended cost per lead and cost per acquisition by channel? Sales What accounts had the largest expansions this quarter? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Product Which cohorts have the highest week-8 retention? Operations Filter paid organizations and show their current usage details. Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout.

Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Product What is our WAU/MAU and how is it trending? Sales Which organizations that have not converted to paid are the most active? Sales Which opportunities are stuck beyond the expected stage duration? Marketing Which campaigns or channels drove the most leads and conversions this month? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Marketing How many deals or opportunities are in our current campaign from a specific region? Engineering Which services or endpoints have the highest error rates this week? Operations Show customers with at least two visits or repeat usage in the last month. Marketing What is our CAC? Product Identify the magic moment that predicts long-term engagement. Operations Which tickets are trending by category and time to resolution? Sales Who are the most engaged accounts in the last 14 days? Operations Which customers have open issues tied to performance or reliability? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing Which categories or segments contributed the most revenue or transactions? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Data & Analytics Show me revenue and subscription growth. Operations Give me a table of all new users with their signup source/medium. Engineering Show recent error logs and users impacted in the last week. Product Are there any features we added recently that increased engagement? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Sales List all workspaces with an upcoming renewal in the next month. Sales Which accounts are likely to expand based on recent product activity? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Product What is our WAU/MAU and how is it trending? Sales Which organizations that have not converted to paid are the most active? Sales Which opportunities are stuck beyond the expected stage duration? Marketing Which campaigns or channels drove the most leads and conversions this month? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Marketing How many deals or opportunities are in our current campaign from a specific region? Engineering Which services or endpoints have the highest error rates this week? Operations Show customers with at least two visits or repeat usage in the last month. Marketing What is our CAC? Product Identify the magic moment that predicts long-term engagement. Operations Which tickets are trending by category and time to resolution? Sales Who are the most engaged accounts in the last 14 days? Operations Which customers have open issues tied to performance or reliability? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing Which categories or segments contributed the most revenue or transactions? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Data & Analytics Show me revenue and subscription growth. Operations Give me a table of all new users with their signup source/medium. Engineering Show recent error logs and users impacted in the last week. Product Are there any features we added recently that increased engagement? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Sales List all workspaces with an upcoming renewal in the next month. Sales Which accounts are likely to expand based on recent product activity?

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 engineering analytics tools

How Basedash compares to specialized engineering metrics platforms.

Capability	Basedash	Other tools
AI-generated engineering dashboards	Yes	No
Natural language queries	Yes	SQL or config-based
Multi-source (GitHub + Jira + infra + DB)	750+ sources	Specialized per tool
DORA metrics out of the box	Yes — customizable	Limited or manual
Embeddable in internal tools	Yes	Varies
Self-hosting	Available	Rarely
Time to first dashboard	Minutes	Hours to days

Related resources

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Automations

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BI for product teams

Feature adoption and user analytics

Engineering analytics FAQ

What BI metrics should engineering teams track?

Key engineering metrics include the four DORA metrics (deployment frequency, lead time for changes, change failure rate, MTTR), sprint velocity, API latency and error rates, infrastructure costs, and data pipeline health. Basedash can calculate all of these from your existing tool data.

How does Basedash connect to engineering tools?

Basedash integrates with GitHub, GitLab, Jira, Linear, PagerDuty, Datadog, AWS, and 750+ other data sources. Connect your tools directly or sync through your data warehouse.

Can engineers still write their own SQL?

Absolutely. Basedash supports both natural language queries and raw SQL. Engineers can write custom queries, review AI-generated SQL, or switch between modes. The AI is a productivity tool, not a replacement for SQL expertise.

Is Basedash secure enough for engineering data?

Yes. Basedash supports self-hosting, read-only database connections, role-based access controls, and SSO. Your data stays in your warehouse — Basedash queries it directly without copying or storing raw data.

Can non-engineering stakeholders use Basedash to query engineering data?

Yes. Product managers, engineering managers, and executives can ask questions in plain English like 'How often did we deploy last month?' without writing SQL. The AI generates the query and returns visual results.

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