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AI can do the data investigation. What is the coach there to do next?

Get the free 9-page PDF to examine what remains valuable when AI makes the data work behind a coaching assessment trivial.

Written for agile coaches and the delivery and engineering leaders who work with them.

AI Just Exposed What the Coaching Industry Never Had to Face: the guide's cover

Inside the guide

The guide asks what coaching is worth when the assessment is no longer the hard part.

  1. Was the assessment ever the hard part?2
  2. Why did the industry build its offer around assessment?3
  3. What remains when AI makes the data work trivial?6
  4. Which coaching capabilities are still scarce?7
  5. How much of your value remains after the analysis is removed?8

The problem with selling the assessment

The work that was easiest to package is becoming the easiest to automate.

Coaching engagements have long been built around observing teams, pulling data, mapping workflows, presenting findings and recommending next steps. The guide examines what happens to that model when AI makes the data investigation instant.

  • The assessment was never the hard part

    Identifying what is happening and getting people to embrace change are different kinds of work.

  • The industry priced the visible work

    Assessment gave leadership a concrete deliverable and gave coaches a way to establish credibility before harder conversations.

  • AI changes what needs to prove its value

    When data investigation takes less effort, the rest of the engagement has to stand on its own.

Sonya Siderova, Founder and CEO of Nave

About the author

The guide is written by Sonya Siderova, Founder and CEO of Nave.

Nave grew out of a product development team that was delivering just 25% of what it committed to. After adopting Kanban, the team began making decisions from delivery data instead of opinions. That experience eventually became Nave, a flow analytics platform trusted by 7,000+ delivery teams worldwide.

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