BI for Engineering Teams — DORA Metrics and Dev Analytics

Engineering analytics

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

Start free Book a demo

14-day trial, no credit card required.

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.

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

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?

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.

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

Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.ProductAre there any features we added recently that increased engagement?MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?OperationsShow customers with at least two visits or repeat usage in the last month.ProductWhich features correlate most with conversion to paid?EngineeringShow recent error logs and users impacted in the last week.EngineeringWhat are the most common errors this month, and what endpoints are causing them?EngineeringFetch IDs created in a given month for a specific provider or integration.ProductWhich cohorts have the highest week-8 retention?SalesHow many leads are currently close to closing?MarketingHow many deals or opportunities are in our current campaign from a specific region?ProductDid anything else spike when a specific feature usage increased?ProductIdentify the magic moment that predicts long-term engagement.ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?EngineeringWhich SDK versions or app versions are most error-prone?EngineeringFind domains or metadata for a list of organizations from builder records.OperationsWhich customers are running into more bugs recently?SalesWhich accounts are likely to expand based on recent product activity?SalesWho are the most engaged accounts in the last 14 days?SalesList all workspaces with an upcoming renewal in the next month.OperationsGive me a table of all new users with their signup source/medium.MarketingWhat is our blended cost per lead and cost per acquisition by channel?OperationsSurface users who recently hit errors or experienced slow response times.Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?EngineeringMake table links open detailed views in our admin tool.Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.ProductAre there any features we added recently that increased engagement?MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?OperationsShow customers with at least two visits or repeat usage in the last month.ProductWhich features correlate most with conversion to paid?EngineeringShow recent error logs and users impacted in the last week.EngineeringWhat are the most common errors this month, and what endpoints are causing them?EngineeringFetch IDs created in a given month for a specific provider or integration.ProductWhich cohorts have the highest week-8 retention?SalesHow many leads are currently close to closing?MarketingHow many deals or opportunities are in our current campaign from a specific region?ProductDid anything else spike when a specific feature usage increased?ProductIdentify the magic moment that predicts long-term engagement.ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?EngineeringWhich SDK versions or app versions are most error-prone?EngineeringFind domains or metadata for a list of organizations from builder records.OperationsWhich customers are running into more bugs recently?SalesWhich accounts are likely to expand based on recent product activity?SalesWho are the most engaged accounts in the last 14 days?SalesList all workspaces with an upcoming renewal in the next month.OperationsGive me a table of all new users with their signup source/medium.MarketingWhat is our blended cost per lead and cost per acquisition by channel?OperationsSurface users who recently hit errors or experienced slow response times.Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?EngineeringMake table links open detailed views in our admin tool.

Data & AnalyticsShow me revenue and subscription growth.Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.SalesWhich organizations that have not converted to paid are the most active?MarketingWhat should be on a performance dashboard for our account managers?MarketingWhich campaigns or channels drove the most leads and conversions this month?OperationsWhich customers have open issues tied to performance or reliability?OperationsFilter paid organizations and show their current usage details.MarketingWhich categories or segments contributed the most revenue or transactions?SalesWhich opportunities are stuck beyond the expected stage duration?ProductWhat is our WAU/MAU and how is it trending?EngineeringHow many auth configs or connected accounts exist for provider X?MarketingList Google Ads campaigns and show CPC trends for each.MarketingWhat is our CAC?SalesWhich accounts are a churn risk?EngineeringWhich services or endpoints have the highest error rates this week?SalesWhat accounts had the largest expansions this quarter?ProductShow onboarding conversion rate compared to last month.Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.MarketingShow campaigns with delivery errors that still spent in the last 24 hours.MarketingWhich geographies are performing best this quarter by pipeline and closed-won?ProductShow retention by cohort and first-usage month.OperationsWhich tickets are trending by category and time to resolution?Data & AnalyticsShow me revenue and subscription growth.Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.SalesWhich organizations that have not converted to paid are the most active?MarketingWhat should be on a performance dashboard for our account managers?MarketingWhich campaigns or channels drove the most leads and conversions this month?OperationsWhich customers have open issues tied to performance or reliability?OperationsFilter paid organizations and show their current usage details.MarketingWhich categories or segments contributed the most revenue or transactions?SalesWhich opportunities are stuck beyond the expected stage duration?ProductWhat is our WAU/MAU and how is it trending?EngineeringHow many auth configs or connected accounts exist for provider X?MarketingList Google Ads campaigns and show CPC trends for each.MarketingWhat is our CAC?SalesWhich accounts are a churn risk?EngineeringWhich services or endpoints have the highest error rates this week?SalesWhat accounts had the largest expansions this quarter?ProductShow onboarding conversion rate compared to last month.Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.MarketingShow campaigns with delivery errors that still spent in the last 24 hours.MarketingWhich geographies are performing best this quarter by pipeline and closed-won?ProductShow retention by cohort and first-usage month.OperationsWhich tickets are trending by category and time to resolution?

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

Dashboards

Build and share visual reports with AI

Automations

Set up alerts for incidents and deployments

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.

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

Start free Book a demo

Engineering intelligence, not just dashboards

Your engineering metrics, live

Ask your engineering data anything