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What you can ask about

Ask a question in the chat panel and nullplatform generates a dashboard backed by live data. The assistant understands your organization's hierarchy and only shows what you have access to. Here's what teams typically build with it.

Team activity and velocity​

Track what your teams are shipping: builds, deployments, parameters, and contributor activity over any time range. Try "Show me all team activity for the last 4 weeks: deploys, builds, and parameters".

Team velocity dashboard showing commits, deploys, builds and parameters over 4 weeks

Manager scorecards​

Get a per-manager view of engineering output: commits, applications worked on, production deployments, and success rates. Try "Give me the weekly scorecard for each technical manager".

Manager scorecard with per-manager metrics and success rates

Deployment health​

Monitor deployment frequency, success rates, rollbacks, and lead times across your organization. Try "Show deployment success rate by namespace for the last 30 days".

Deployment health dashboard showing success rates by namespace

Cost and resource analysis​

Understand where your infrastructure spend is going and where you can optimize. Try "Show me applications that are over-provisioned".

Cost and resource analysis dashboard with savings opportunities

Security posture​

Track vulnerability status, scan coverage, and remediation velocity. Try "Show a heatmap of security and cost action items across all accounts".

Risk and cost map showing security hotspots across the organization

If you're after something else, just ask. The assistant queries the same data that powers the nullplatform Data Lake: deployments, builds, scopes, parameters, applications, action items, and more. If you need raw access or want to join nullplatform data with your own sources, the Data Lake lets you query it directly via SQL.

Analyze a dashboard​

Any dashboard you own also works as a starting point for deeper analysis. Open it, click the AI chat icon, and ask about the data you see. The assistant reads every widget on the dashboard, always with live numbers rather than a snapshot from when it was created, and responds with conclusions and suggested next steps.

Ask it to summarize what matters ("Give me a short list of the key things I should focus on right now, and why"), flag anomalies ("Anything unusual in the last 7 days?"), compare ("How does production compare to staging in terms of failures?"), or recommend actions ("What should we prioritize fixing based on this dashboard?").

AI chat analyzing a published dashboard with trend insights
note

The AI chat is only available on dashboards you own. Predefined dashboards and dashboards shared by other team members are view-only.

Tips for better results​

  • Be specific about time ranges: "last 7 days" and "this quarter" produce different dashboards
  • Reference entities by name: "the payments namespace" or "checkout-service" gives the assistant precise context
  • Start broad, then refine: ask "Show deployment activity this week", then follow up with "Break that down by team"

From question to shared dashboard​

Every dashboard you create here can be saved, published, and shared with your organization. A question you ask once can become a recurring dashboard that your entire leadership team accesses from the Insights sidebar.