Thursday, February 18, 2021
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.
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
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