From the team building Progress

The Progress blog

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

September 7, 202616 min read

How to Run Engineering Team Performance Analysis: A Step-by-Step Guide for Technical Leaders

Engineering team performance analysis is the structured process of turning raw development activity — from code commits to sprint data — into actionable signals on team health, momentum, and deployment risk. This step-by-step guide gives technical leaders a repeatable framework for identifying problems early and communicating engineering health clearly to stakeholders.

September 6, 202615 min read

9 Best Engineering Intelligence Platforms Compared for 2026

This engineering intelligence platform comparison evaluates 9 leading tools — from AI-native insight engines to DORA-metric dashboards — helping CTOs and engineering managers identify delivery risks, track team health, and turn disconnected activity data into decisions they can act on.

September 5, 202615 min read

Engineering Operational Signals: What They Are and Why Your Dev Team Can't Afford to Ignore Them

Engineering Operational Signals are interpreted, decision-ready intelligence derived from the tools engineering teams already use — going beyond raw activity metrics like commit counts and velocity charts to give technical leaders the early warning system they need. This article explains what operational signals are, how they differ from ordinary engineering data, and why ignoring them is one of the costliest mistakes a growing dev team can make.

September 4, 202617 min read

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

This guide teaches engineering leaders exactly how to measure team velocity — from defining the right metrics and connecting data sources to establishing a meaningful baseline and interpreting trends that drive real decisions. Whether you're a CTO, engineering manager, or dev lead, you'll walk away with a repeatable system for confident sprint planning and accurate delivery forecasting.

September 3, 202614 min read

Pull Request Cycle Time Tracking: What It Measures, Why It Matters, and How to Act on It

Pull request cycle time tracking measures how long code takes to travel from written to merged, exposing the hidden gaps and bottlenecks inside a team's delivery system. This article explains what the metric captures, why it matters especially for lean startup engineering teams, and how to act on the data to ship faster and more reliably.

September 2, 202615 min read

9 Best Engineering Metrics Platforms for Startups in 2026

Startup engineering leaders can't afford to fly blind — missed deadlines, surprise incidents, and burnout are the cost of poor visibility. This guide evaluates the 9 best engineering metrics platforms for startups in 2026, comparing each on depth of insight, ease of setup, pricing, and their ability to turn raw development data into decisions your team can actually act on.

September 1, 202616 min read

8 Proven Strategies for Real-Time Engineering Team Health Monitoring

Real time engineering team health monitoring gives engineering leaders continuous visibility into how their teams are performing right now — not after the damage is done. This article covers eight practical strategies to catch risks early, maintain momentum, and lead with confidence instead of reacting to problems after they surface.

August 31, 202614 min read

How to Set Up Deployment Frequency Tracking: A Step-by-Step Guide for Engineering Teams

Deployment Frequency Tracking is a core DORA metric that reveals how consistently your engineering team ships working software to production — and how safely it does so. This guide walks engineering managers through a practical, step-by-step process for consolidating data from GitHub, CI/CD pipelines, and project tools into a reliable, actionable tracking system.

August 30, 202614 min read

Developer Burnout Signals: How to Spot Them Before They Derail Your Team

Developer burnout signals — from stalled code reviews to erratic commit patterns — rarely look like burnout at first glance, making them dangerously easy to rationalize away. This article equips engineering leaders, especially those running lean startup teams, with a practical framework for recognizing and responding to these signals before they escalate into attrition or team-wide dysfunction.

August 29, 202614 min read

7 Proven Engineering Analytics Strategies Every Technical Leader Should Be Using

Engineering analytics for technical leaders bridges the gap between disconnected tools like GitHub, Linear, and Slack and the clear, actionable signals needed to lead confidently. This article outlines seven proven strategies that help CTOs, engineering managers, and startup leaders turn raw development activity into genuine operational intelligence — so they can address risks early, protect team momentum, and make decisions that actually matter.

August 28, 202615 min read

How to Identify Blockers in Software Development Before They Derail Your Sprint

Most development blockers are visible before they cause damage — the signals are already in your GitHub history, Linear board, and ticket aging data. This guide walks startup dev teams through a practical, repeatable process for identifying blockers early, distinguishing them from slowdowns, and using engineering intelligence to surface issues automatically before they derail a sprint.

August 27, 202613 min read

Engineering Intelligence Software Cost: What You're Actually Paying For (And Why It Matters)

Engineering intelligence software cost varies widely because not all tools solve the same problem — some are glorified dashboards, others fundamentally change how technical leaders operate. This guide breaks down what drives pricing, how to evaluate ROI, and what separates tools worth paying for from ones that just multiply your tabs.