So, do you think your problems are too complex and difficult for Agility?

While agility can have an impact in helping to create great software, come meet 4 leaders applying agility to some of the world’s most complex problems while helping countless people in need.

A panel at Agile 2022 started a movement by sharing how agility is taking on planetary-size challenges impacting countless human lives and families. Many were moved by the stories, and a community is forming. This panel discusses complex challenges and how agility is applied beyond software to help those in need.

You will have a new perspective on how agility can impact every issue and how you can get involved.

• Sally Ellata – Sudan NextGen, Enabling Sudan to be a leading Digital African Economy
• Ondřej Dvořák – UA Support, International Pro Bono Legal Help for Ukrainian Refugees
• Rocío Briceño – Social Impact Agile, Focused on carrying out Social Projects for People
• Joanne Stone – Wicked Agility, Passionate Problem Solvers

Maturity is a leading indicator for Performance which leads to Outcome delivery. We crunched the numbers and analyzed the data across 46,000 team members in our enterprise customers (4,616 Agile teams) and found some fascinating insights on what specific competencies drive high performance. Our team has always believed there’s a correlation between qualitative metrics (defined by maturity) and quantitative metrics (defined by performance or flow). A few years ago, we moved to gather both qualitative and quantitative data. Once we felt we had a sufficient amount to explore, we partnered with the University of Nebraska’s Center for Applied Psychological Services to review the data through our AgilityHealth platform. The main question we wanted to answer was: What are the top competencies driving teams to higher performance?

We analyzed both quantitative and qualitative data from teams surveyed between November 2018 and April 2021. There were 146 companies representing a total of 4,616 teams (some who took the assessment more than once) which equates to more than 46,000 individual survey responses.

The results of our analysis identified the top five input drivers for each of the performance metrics in the TeamHealth assessment, along with the corresponding “weight” of each driver. These drivers are the best predictors for the corresponding metrics. 

By focusing on increasing these top five predictors, teams should see the highest gain on their performance metrics.