Why you’re not getting value out of scaled agile (and how to fix it)

Your organization has ventured into agile and you have one or more agile teams. You may have experimented with additional coordination layers like programs, or portfolios.

But you’re not seeing the business outcomes everyone had hoped for. And stakeholders are getting restless.

You want to add value at scale while avoiding excessive overhead. But what you have in place isn’t quite working. And you’re wondering what to try next.

This discussion will cover some typical issues that organizations face when shifting to a scaled agile model for creating value in complex environments.

 
 

Outline/Structure of the Workshop

  1. Volunteers share their challenges and context with the group
  2. Presenter shares a brief overview of typical hurdles and ways to overcome them, such as misaligned expectations, firefighting, rapidly shifting priorities, and process gaps that impact success.
  3. Group discussion and brainstorming session around a few of the additional challenges that were raised

Learning Outcome

By the end of this session, change agents will have better clarity around the pitfalls they may encounter so they can avoid or overcome them.

Target Audience

People working in organizations transitioning to agile at scale, but not seeing the business outcomes they had hoped for. The examples may be especially helpful for people working in nonprofits, government, and purpose-driven companies.

Prerequisites for Attendees

Session participants should be familiar with frameworks for scaling agile. Experience applying them could be helpful but isn’t required.

Since this will be an interactive session, if participants come to the workshop with their own questions and struggles, we can potentially address them during the session. They can also email their questions to lisa_schlecht@rechartedterritory.com ahead of time with "Agile DC" in the subject line.

schedule Submitted 1 year ago

Public Feedback

comment Suggest improvements to the Speaker
  • George Dinwiddie
    By George Dinwiddie  ~  1 year ago
    reply Reply

    I like these aspects of the submission, and they should be retained:

    • Helping people improve their Agile adoptions at scale

    I think the submission could be improved by:

    • Either having, or letting the reviewers know, the list of problems and approaches that you generally see. Pinning everything on the particular set of things raised by attendees can make a dull presentation that misses the mark. As presenter, you need to guide the session in productive directions.

  • Liked Michael Peter
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    Michael Peter - Succeeding at AI with Agile

    Michael Peter
    Michael Peter
    CTO
    Liquid Genius
    schedule 1 year ago
    Sold Out!
    45 Mins
    Talk
    Intermediate

    Artificial intelligence is a wave that is already here and transforming enterprises, promising a future vastly different from our experiences, environment, and work today. If your agile team isn't already touching backlog items related to AI, it soon will be - or a team better prepared to handle AI work may intercept what will become an increasingly larger share of enterprise workloads.

    Agile teams have the imperative to start working with AI technology and tools, incorporate an AI focus into their current and future backlogs, and begin delivering more than just working code: Working models, experiments, and cognitive services that augment and expand the capabilities of their applications and enterprises.

    This new world includes new team roles, like Data Scientist; new development pipeline tools: Automated data ingest and scrubbers, data lakes, algorithm libraries, test and training data repositories, model registries, AI labs; and new processes and tasks, such as cognitive service integration, data labeling, model training, testing, and deployment, and algorithm performance evaluation.

    This talk describes the tools, infrastructure, roles, and agile process changes required for taking on AI epics so that your team can can get started on its own AI journey.