Allstacks Blog

Last month, we had the privilege of hosting an intimate dinner with 20 of Silicon Valley's most accomplished engineering leaders—what followed was an enlightening conversation about the realities of senior technical leadership.

Continuing our discussion from last week on engineering managers and planning, we now shift our focus. This week, we'll jump into how Product teams can leverage engineering metrics to improve delivery outcomes.

At Allstacks, we interact with product managers and engineering leaders every day across hundreds of software teams. We see firsthand how these organizations can sometimes seem disconnected—working with different business terminology, operating on different timelines, and pursuing what appear to be disparate goals.

As an executive software leader, your entire compensation package can hang on just two things: keeping your current systems running without drama, and delivering your project portfolio on time and on budget.

Learn why the path from investment to impact in software development requires clarity, rather than guesswork.

Engineering organizations need to know where their engineers spend time. Executives now face a fundamental challenge: they need to measure the work their teams do and hope to do so without relying on an onerous, lossy approach. For many teams, this means time tracking and billing codes play a central role.

We’re excited to announce the launch of DORA Scorecards in Allstacks—your new hub for measuring and improving engineering performances.

As we discussed in our Crawl, Walk, Run series, tracking your software development lifecycle effectively requires a balanced approach across multiple dimensions. Let’s walk you through what this looks like in more detail.

Over the past several weeks, we've explored the journey from metrics novice to metrics master using the Crawl/Walk/Run methodology. Here's a summary of what we've learned.

Many engineering leaders in regulated industries feel powerless to improve their deploy frequency—but is the limitation real—or just the way things have always been done?

In this third installment, we're tackling the "Run Phase" – where your metrics program transforms from a useful tool into a strategic superpower.

Since our last post, you've spent time in the crawl phase getting familiar with your baseline metrics. Now it's time to leverage that foundation and start making intentional improvements.

Welcome to the first installment in our Crawl/Walk/Run series to help you bring meaningful metrics into your software development process.

Let's talk about something that's driving every tech leader crazy right now: why can't we seem to get software delivered on time and on budget?

Ever stare at your engineering dashboards and feel like something's missing? Sure, you can see all the commits, PRs, and velocity charts, but that doesn't tell you if your developers are pulling their hair out over clunky tools or buzzing with excitement about their latest project.

AI product management is changing fast. This whitepaper unpacks the AI transformation of software product management and how PM teams can lead it.

The Crawl Walk Run approach takes your engineering metrics program from first steps to full speed. Download the free whitepaper.

Developer productivity survey results: see how engineering teams measure, manage, and improve productivity. Download the free report.

Engineering efficiency starts with simple metrics. Download the whitepaper on the measures that actually move software delivery.

SAFe metrics that prove value: download the whitepaper on measuring Scaled Agile Framework performance across your ARTs and teams.

GitHub Copilot metrics that matter: this whitepaper shows how to measure Copilot's real impact on delivery, quality, and developer output.

R&D capitalization made practical. Download the whitepaper on capitalizing software R&D and development costs accurately and defensibly.

Engineering productivity, decoded. This 2025 report breaks down what the data says about how software teams really perform, and how to improve.

AI ROI is hard to prove. Download two free whitepapers on measuring AI's real impact on engineering KPIs and business outcomes.

Product management webinar: Build to Learn, Build to Earn shows PMs how to turn AI-era experiments into revenue. Watch the free on-demand session.

DORA Report 2025, explained. Watch the webinar breaking down AI's impact on software delivery performance and what it means for your team.

Developer productivity and AI: what every executive needs to know. Watch the on-demand webinar for a leader's guide to measuring the shift.

Software quality is a human problem first. Watch this webinar on building better code through culture, collaboration, and craft.

Section 174 capitalization explained: watch the R&D cost capitalization webinar to understand the rules for software development costs.

AI-driven development pays off when you measure it. Watch this webinar on maximizing GitHub Copilot and AI coding tools across your team.

Predictable software delivery is possible. Watch The Predictable Path webinar to see how leading teams hit dates without burning out.

AI team management for the AI-augmented era: your team just doubled, your management tools didn't. Watch the on-demand webinar.

The Crawl Walk Run framework helps teams adopt engineering metrics in stages. Watch the on-demand webinar to build your metrics program.

Generative AI use cases in software development: watch session 2 of the GenAI roundtable for real examples from engineering leaders.

Generative AI adoption done right: watch session 3 of the GenAI roundtable for lessons on rolling out GenAI across engineering teams.

Generative AI in software development: watch session 1 of the GenAI roundtable for how engineering teams are putting GenAI to work.

Agile forecasting turns funding decisions into delivery predictions. Watch the on-demand webinar to forecast engineering outcomes with confidence.