One common metric in agile measures team health or team happiness, but creating a way to measure this that is valued by the team is not an easy task. It’s having clarity on the reason you’re measuring these metrics and who benefits from it that gives you real value. Here are some ways you can measure this elusive quality, as well as how to make sure you're gaining useful information.
Many organizations have problems with consistently tracking and measuring system outages. Issues aren't logged, admins make changes to systems without going through change management, and a high number of issues turn out to be recurring problems. Implementing a performance measurement process calculates system reliability and can help you improve consistency.
Ashwin Desai has faced the daunting challenge of using measurements and metrics to assess and improve product quality through process change. Join him as he shares what he learned on the journey to move the sports technology firm Hudl from a reactive approach to quality to quantitative, data driven, proactive means to improve product quality. Just as Hudl itself provides the ability for coaches and teams to analyze and improve their performance based on data, they wanted to move the teams building Hudl to use the same approach to improve quality. Ashwin shares how they selected measurements, the work agile teams completed to get buy-in for the measurements, and how the data was normalized to provide understanding of the quality of each initiative and the variance between them.
Implementing DevOps practices can significantly accelerate software releases while still assuring applications meet quality objectives. But DevOps can’t be bought, bolted on, or just declared. If you’re considering a move to a DevOps delivery model, here are six approaches for ensuring a successful DevOps adoption within an organization.
When software development teams work in waterfall environments, traditional performance management programs can help encourage personal development and innovation. However, Tina Rusnak says that when organizations move to agile, measuring performance takes on a new form that often causes...
With the transparency of agile and the granularity of team-based metrics, it's important to be responsible in how you use your measurements. There are five principles Joel Bancroft-Connors adheres to when dealing with metrics: start collecting early and often, be consistent, stay focused, measure the project and the teams separately, and—most importantly—measure responsibly.
Whatever your feelings on metrics, organizations will expect them for your team. You don't want to measure only one aspect to the detriment of other information, but you also don't want to measure too many things and scatter your team's focus. Here are four metrics that balance each other out and help gauge an agile team's productivity, work quality, predictability, and health.
In this interview, Larry Maccherone, the director of analytics and research at AgileCraft, explains how you can better use data within your software team. He digs into metrics and measurements within an agile environment and how to determine what data is valuable.
If you aren’t measuring the coverage your regression tests provide, you may be spending too much time for little benefit. Consider the value of your regression tests as you create and manage them. You need to be smart about the regression tests you maintain in order to gain the maximum value from the work put into creating, running, and analyzing their results.
In this interview, TechWell CIO and consultant Mike Sowers details key metrics that test managers employ to determine software quality, how to know a piece of software's readiness, and guidelines for developing a successful test measurement program.