From the team building Progress

The Progress blog

Insights on shipping software, team visibility, and getting clarity across all your tools.

June 21, 202615 min read

Engineering Team Collaboration Metrics: What They Are, Why They Matter, and How to Use Them

Engineering team collaboration metrics go beyond standard output measurements like velocity and deployments to reveal how work actually flows between people—exposing hidden bottlenecks like review concentration, knowledge silos, and PR lag that quietly slow down feature delivery. Teams that track these collaboration signals can identify structural problems before they become critical and build more resilient, distributed engineering practices.

June 20, 202614 min read

What Is an Engineering Operations Platform (And Why Your Dev Team Needs One)

An engineering operations platform sits above your existing dev tools—GitHub, Jira, deployment pipelines—to transform raw development activity into decision-ready intelligence, eliminating the manual work of cross-referencing data to answer basic delivery questions. If your team struggles to get a clear picture of engineering performance without opening five tabs, this emerging category of tooling is built specifically to solve that problem.

June 19, 202616 min read

7 Proven Strategies for Dev Team Performance Monitoring That Actually Drive Results

Dev team performance monitoring goes beyond collecting GitHub activity and ticket data — it requires tracking the right signals to catch stalled work, deployment risks, and morale shifts before they become costly problems. This guide outlines seven practical strategies for engineering leaders and CTOs to build a monitoring approach that transforms raw data into actionable insights, helping startup dev teams maintain momentum and prevent missed deadlines or engineer attrition.

June 18, 202615 min read

How to Track Engineering Initiatives: A Step-by-Step Guide for Technical Leaders

This step-by-step guide teaches technical leaders how to track engineering initiatives effectively, moving beyond surface-level status updates to gain real-time visibility into risks before they escalate. Covering everything from defining trackable initiative structures to building proactive monitoring systems, it's a practical resource for startup dev teams and engineering managers looking to keep complex workstreams on track.

June 17, 202613 min read

What Is an Engineering Intelligence Platform? A Guide for Technical Leaders

An engineering intelligence platform sits on top of your existing tools like GitHub, Jira, and Linear to automatically interpret raw development activity—commits, pull requests, and tickets—into clear, actionable insights. Designed for technical leaders who struggle to answer basic questions about team progress and deadlines, these platforms eliminate the cognitive overhead of manually piecing together status updates across multiple systems.

June 16, 202614 min read

9 Best Dev Team Analytics Software Tools in 2026

This guide reviews the 9 best dev team analytics software tools in 2026, helping engineering leaders transform scattered GitHub activity, sprint data, and deployment logs into clear, actionable insights. Evaluated on integration depth, AI capabilities, and insight quality, these platforms help CTOs and engineering managers identify bottlenecks, reduce deployment risk, and monitor team health across startups and scaling SaaS organizations.

June 15, 202615 min read

Developer Velocity Metrics: What They Actually Measure and Why They Matter

Developer velocity metrics go beyond counting commits and closed tickets to measure how efficiently engineering teams move work from idea to production. This guide explains what these metrics actually capture, why they reveal systemic friction that traditional activity tracking misses, and how engineering leaders can use them to have more informed conversations about team performance and delivery health.

June 14, 202616 min read

How to Measure Engineering Team Health: A Step-by-Step Guide for Technical Leaders

This step-by-step guide teaches technical leaders how to measure engineering team health using structured, repeatable frameworks that track delivery performance, code quality, team momentum, and wellbeing—before problems become visible. Rather than relying on gut instinct or vanity metrics, it provides actionable diagnostic systems that surface early warning signals, helping CTOs and engineering managers intervene while fixes are still straightforward and inexpensive.

June 13, 202615 min read

9 Best Deployment Risk Assessment Tools for Engineering Teams in 2026

Engineering teams can move beyond gut-feel deployment decisions with the right deployment risk assessment tools, which surface critical signals like code churn, change pressure, and team momentum before problems escalate. This guide evaluates nine top solutions based on signal quality, integration depth, and their ability to interpret data rather than simply display it.

June 12, 202613 min read

Linear Project Tracking Insights: What the Data Is Actually Telling You

Linear project tracking insights go beyond surface-level metrics like velocity charts and burndown rates to reveal whether your team is working on the right things at a sustainable pace. This guide helps engineering teams extract meaningful signals from Linear's rich data to close the gap between knowing work is happening and truly understanding project health.

June 11, 202615 min read

9 Best CTO Dashboards for Dev Teams in 2026

The best CTO dashboard for dev teams goes beyond raw charts by surfacing actionable insights, flagging risks early, and integrating with tools like GitHub, Jira, and Linear. This guide evaluates nine top options for 2026, helping technical leaders at fast-moving startups maintain engineering visibility, track initiatives, and make faster, more informed decisions without endlessly digging through data.

June 10, 202614 min read

How to Set Up Automated Engineering Status Reports: A Step-by-Step Guide

Setting up automated engineering status reports eliminates the manual work of chasing updates and compiling data by pulling directly from tools like GitHub and Linear to surface real-time insights on shipping progress, blockers, and team health. This step-by-step guide walks engineering managers through building a continuously updated reporting system that keeps leadership informed without sacrificing the time your team needs to actually build.