The Agile Coach Role: Coaching for Agile Performance Impact

• URL: http://arxiv.org/abs/2010.15738v3
• Date: Fri, 1 Mar 2024 07:27:00 GMT
• Title: The Agile Coach Role: Coaching for Agile Performance Impact
• Authors: Viktoria Stray, Anastasiia Tkalich, Nils Brede Moe
• Abstract summary: This paper examines the role of the agile coach through 19 semistructured interviews with agile coaches from ten different companies. Our findings indicate that agile coaches perform at the team and organizational levels. The most essential traits of an agile coach are being emphatic, people-oriented, able to listen, diplomatic, and persistent.
• Score: 3.5143894612668443
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: It is increasingly common to introduce agile coaches to help gain speed and advantage in agile companies. Following the success of Spotify, the role of the agile coach has branched out in terms of tasks and responsibilities, but little research has been conducted to examine how this role is practiced. This paper examines the role of the agile coach through 19 semistructured interviews with agile coaches from ten different companies. We describe the role in terms of the tasks the coach has in agile projects, valuable traits, skills, tools, and the enablers of agile coaching. Our findings indicate that agile coaches perform at the team and organizational levels. They affect effort, strategies, knowledge, and skills of the agile teams. The most essential traits of an agile coach are being emphatic, people-oriented, able to listen, diplomatic, and persistent. We suggest empirically based advice for agile coaching, for example companies giving their agile coaches the authority to implement the required organizational changes within and outside the teams.

Related papers

• Prototypical Leadership in Agile Software Development [3.7215696260140154]
  The effectiveness of leadership was perceived as higher when it emerged from within the team or when leaders aligned with the group. Leaders in managerial roles that align with the team's shared values and traits were perceived as more effective.
  arXiv  Detail & Related papers  (2024-09-18T03:55:58Z)
• Learning and Adapting Agile Locomotion Skills by Transferring Experience [71.8926510772552]
  We propose a framework for training complex robotic skills by transferring experience from existing controllers to jumpstart learning new tasks. We show that our method enables learning complex agile jumping behaviors, navigating to goal locations while walking on hind legs, and adapting to new environments.
  arXiv  Detail & Related papers  (2023-04-19T17:37:54Z)
• Understanding why shooters shoot -- An AI-powered engine for basketball performance profiling [70.54015529131325]
  Basketball is dictated by many variables, such as playstyle and game dynamics. It is crucial that the performance profiles can reflect the diverse playstyles. We present a tool that can visualize player performance profiles in a timely manner.
  arXiv  Detail & Related papers  (2023-03-17T01:13:18Z)
• Learning to Transfer Role Assignment Across Team Sizes [48.43860606706273]
  We propose a framework to learn role assignment and transfer across team sizes. We demonstrate that re-using the role-based credit assignment structure can foster the learning process of larger reinforcement learning teams.
  arXiv  Detail & Related papers  (2022-04-17T11:22:01Z)
• Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition [88.26752130107259]
  In real-world multiagent systems, agents with different capabilities may join or leave without altering the team's overarching goals. We propose COPA, a coach-player framework to tackle this problem. We 1) adopt the attention mechanism for both the coach and the players; 2) propose a variational objective to regularize learning; and 3) design an adaptive communication method to let the coach decide when to communicate with the players.
  arXiv  Detail & Related papers  (2021-05-18T17:27:37Z)
• Learning Agile Locomotion via Adversarial Training [59.03007947334165]
  In this paper, we present a multi-agent learning system, in which a quadruped robot (protagonist) learns to chase another robot (adversary) while the latter learns to escape. We find that this adversarial training process not only encourages agile behaviors but also effectively alleviates the laborious environment design effort. In contrast to prior works that used only one adversary, we find that training an ensemble of adversaries, each of which specializes in a different escaping strategy, is essential for the protagonist to master agility.
  arXiv  Detail & Related papers  (2020-08-03T01:20:37Z)
• Design of Transformation Initiatives Implementing Organisational Agility -- An Empirical Study [0.25782420501870296]
  This study uses 125 responses from companies of all sizes headquartered in Germany, Switzerland, France and UK. It investigates current understanding of managing principles of multiple organisational dimensions to achieve greater organisational agility.
  arXiv  Detail & Related papers  (2020-05-29T19:30:55Z)
• Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game [71.24825724518847]
  We present a study on how popular reinforcement learning algorithms can be adapted to learn and to play a real-world implementation of a competitive multiplayer card game. We propose specific training and validation routines for the learning agents, in order to evaluate how the agents learn to be competitive and explain how they adapt to each others' playing style.
  arXiv  Detail & Related papers  (2020-04-08T14:11:05Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.