Checklist

Analytics Delivery CI/CD & Production Handoff Checklist

Interactive checklist and handoff form to move analytic code, models, and data products from prototype into production with CI/CD gates, validation steps, observability, and clear operational ownership. Stores structured handoff records to support accountability, audits, and post-deploy reviews.

Interactive Tool

Analytics Delivery CI/CD & Production Handoff Checklist

This interactive checklist helps teams move analytic code, models, and data products from prototype into production. Use it to record CI/CD gates, validation results, observability plans, operational ownership, rollback steps, and approvals.

Complete each section, provide artifact links, and press Save Handoff. Responses are stored so teams can track readiness, run post-deploy reviews, and reduce surprises after handoff.

The name of the analytic model, report, or data product.
Where this deployment will run.
Provide URLs to the code repository, CI/CD pipeline run, built artifacts, model registry entries, and datasets used.
Select all gates that have passed in the pipeline.
Approximate percent coverage for code and model tests.
Select checks that have been performed and passed.
Provide key metrics (accuracy/AUC, RMSE, coverage, business KPIs) and thresholds used to accept the model/report.
Describe expected response times, throughput, availability targets, and what users should expect.
List metrics, logs, traces, dashboards, alert thresholds, and the initial monitoring window after deployment.
How many days should the team actively monitor and verify behavior after deployment?
Specify which alerts will trigger incidents and who to contact at each escalation level.
Who owns the analytic product and is responsible for decisions after handoff.
Who will operate/run the product in production and receive operational handoffs.
Provide runbook links and summarize the first-responder steps for common incidents.
Describe how to revert or mitigate the release if production problems occur (artifact rollback, feature flags, canary rollback).
Select the intended deployment strategy.
Select compliance reviews completed.
List known issues, edge cases, or operational constraints.
Team’s assessment of risk if deployed.
On a 1–5 scale, how ready is this product for production (1=not ready, 5=fully ready).
1.0 10.0
Final approval from approver(s).
Individual(s) approving production deployment.
Date of approval (YYYY-MM-DD).
Anything the team should review after the monitoring window completes.
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