Choosing delivery metrics for engineering teams

Most engineering organizations track delivery somehow — but the right approach depends on who maintains the numbers, which systems hold the truth, and how often you run leadership reviews. This page compares common approaches without recommending a single vendor.

Spreadsheets and one-off exports work when one manager tracks one team. They break down when:

• Definitions drift — lead time means something different in every sheet
• Every staff meeting starts with manual prep instead of discussion
• Leadership asks for the same comparison across five teams every week
• Someone leaves and the script or pivot table lives only in their head

See engineering delivery metrics without spreadsheets for a minimum viable metric set from GitHub PR data. Related: GitHub metrics for managers and staff meeting metrics.

1. Custom scripts and exports

Engineers query the GitHub API or export CSVs. Maximum flexibility, zero license cost. High maintenance; definitions rarely survive team changes.

2. Generic business intelligence

Data teams pipe GitHub (and other sources) into a warehouse and build dashboards in a BI tool. Best when you need cross-system reporting and have platform capacity to own pipelines.

3. Enterprise engineering intelligence platforms

Broad suites aimed at directors and VPs — portfolio views, DORA-style metrics, integrations beyond GitHub, often sales-led. Strong when the buyer needs org-wide benchmarking and multi-tool visibility.

4. GitHub-native views

Built-in repository insights, pulse graphs, or custom dashboards in the repo workflow. Low friction for a single team; weaker for consistent cross-team staff meetings.

5. Purpose-built GitHub delivery dashboards

Products focused on pull request flow — throughput, lead time, review responsiveness — normalized for manager reviews. Trade integration breadth for faster time-to-value on GitHub-centric rituals.

Question	Lean toward
Who maintains metrics weekly?	EM → focused dashboard or scripts; data team → BI
Is GitHub the system of record for code review?	Yes → PR-based tools; No → multi-source platform
Do you need Jira, CI/CD, and GitHub in one view?	Yes → enterprise suite or BI; No → GitHub-focused product
How often do you run team comparison reviews?	Weekly → opinionated handout matters; ad hoc → scripts may suffice
Enterprise procurement (SSO, SLA) required before trial?	Yes → incumbent vendors; No → self-serve pilot

DeliveryCompass targets engineering managers who run recurring staff meetings on GitHub pull request data. It may fit when you want:

• Consistent team KPIs (throughput, lead time, review responsiveness) without designing a schema
• Overview and team comparison views plus a weekly leadership handout
• Read-only GitHub access — statistics only, no source code import
• A free Early Access pilot to validate the ritual before a larger tooling decision

It is not a fit if you need real-time monitoring, Jira or CI/CD DORA, multi-seat enterprise access, or GitLab-only workflows. See limitations and pilot scope.