DeveloperWeek 2021 DeveloperWeek 2021
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(DeveloperWeek): Using Data and Outcome-Based Metrics to Drive Continuous Improvement

DeveloperWeek PRO Stage C
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Jeremy Freeman
Allstacks, Co-founder and CTO

Jeremy Freeman is the co-founder and CTO at Allstacks, a predictive forecasting and risk management platform that improves software development outcomes. With 10+ years of engineering, leadership and entrepreneurship experience, he offers a wealth of knowledge on how to improve technical and business efficiencies.

After years in engineering and executive roles, Jeremy Freeman saw a common thread among organizations; most companies lack the ability to synthesize their engineering and product data to understand where their efforts stand. Leadership teams are bogged down by too much data, use soiled tools and processes, often track the wrong metrics, and ultimately can’t answer critical questions such as “Are we able to meet our software development deadlines and go-to-market in time?” “Can we deliver what we promised to customers and stakeholders?” Freeman has made it his mission to help leaders collect the right data and visualize how well teams are tracking against company-wide efforts so they can take action on that data.

As engineering leaders, we have the responsibility to translate our engineering activities into business outcomes--from providing value to customers to driving profitability. It’s also important to have a growth mindset, looking for areas of improvement whenever possible and coaching teams to do their best work.

There’s no doubt that creating, tracking, and reporting on engineering KPIs is important, for both the engineering team and company as a whole. However, tracking the right metrics, establishing outcome-based KPIs, and wrangling data from disparate sources can be a challenge for many. This talk offers practical solutions to overcome these challenges and drive continuous improvement.

Tracking engineering metrics allows you to have meaningful conversations with your teams and peers around improving efficient engineering processes, view patterns in work behavior, advocate for more resources when needed, and get the most value out of your team. Objective data also helps you spot common issues and alerts you of when individuals or teams need coaching or guidance.

Engineering and product leaders have historically collected and tracked activity on 5+ tools to manually analyze data and create home-grown reports for daily operations. Learn how you can use a platform, like Allstacks, that uses machine learning and ai to make software delivery more predictable and offers a single source of truth for everyone to stay aligned.

Key Takeaways
How to develop and track the right engineering metrics and ensure they directly support overarching company goals

How to create a single source of truth, benchmark efforts, and keep everyone aligned to work towards the highest level priorities

How to use data to advocate for engineering needs, coach individuals and teams, and manage internal and external stakeholder expectations