Technical Health Checklist

Most products don’t break in one dramatic failure. They degrade quietly, as missing foundations in testing, release safety, observability, and documentation pile up. The team keeps shipping, but every change gets slower and riskier. By the time the slowdown shows up on the roadmap, the fix is expensive.

The Technical Health Checklist is how you find those gaps before they become expensive. Instead of waiting for an audit, a missed deadline, or a failed release to surface the issues, you get a shared, honest view of what’s solid, what’s shaky, and what needs attention now.

60 Checks to Assess Your Product

The Technical Health Checklist is a practical self-assessment tool. No consultants, no formal audit, no six-week engagement. You run it internally with your own team.
Each check covers one technical foundation (schema migrations, centralized logging, idempotent retries, and so on) and names the specific risk it mitigates. The built-in dashboard scores your overall maturity, surfaces red flags, and shows which areas to fix first.
Run it once to benchmark your current state. Rerun it every quarter, because technical health drifts as the product, team, and delivery pressure change.

Architecture

Check whether your system's design still fits its current scale and complexity. Covers architectural consistency, service boundaries, resilience, API contracts, performance, and whether infrastructure cost is proportional to usage.

Testing

Assess whether your test suite actually protects the product from regressions. Covers unit, integration, and end-to-end coverage, environment reproducibility, test reliability, and performance verification.

CI/CD

See how safely and quickly your team can ship changes. Covers automated build and deployment pipelines, failure recovery, release repeatability, branching strategy, and infrastructure as code.

Observability

Find out whether your team can actually see what's happening in production. Covers centralized logging, structured logs, error tracking, metrics, alerting, and whether observability tools are used in practice.

Data

Evaluate whether your data is safely managed and recoverable. Covers schema evolution, data ownership, backup and restore, consistency strategy, and efficient access patterns.

Security

Surface the security foundations every product should have. Covers authentication and authorization, secret management, input validation, dependency scanning, encrypted communication, and audit logging.

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