Transformation · Readiness & Resistance

Know where your SAFe® transformation is actually working.

Find where your SAFe® transformation is gaining traction, where it is meeting resistance, and why — through surveys and AI voice interviews across the organization.

How resistance gets labelled
“A people problem”
What is usually underneath
Unclear roles
Conflicting processes
Poor tailoring
Local constraints
Lack of confidence
Process does not fit the work
Illustrative. One label hides six different fixes — and only one of them is a communications fix.
The core problem

Transformation leaders can see adoption metrics, Jira activity, survey scores, and retrospective output, but those signals rarely explain why teams are struggling with the change.

Where it breaks

Resistance is often labelled as a people problem when the underlying causes may be unclear roles, conflicting processes, poor tailoring, local constraints, lack of confidence, or a process that simply does not fit the work.

What changes

The operating model supplies the interview context: roles, practices, process changes, ART structure, tailoring decisions, and intended ways of working. AI voice interviews then probe what is happening in practice and return evidence-backed root causes linked to the transformation questions and relevant process elements.

Operating model in

Roles · practices · process changes · ART structure · tailoring decisions · intended ways of working

Evidence out

Root causes linked to the transformation questions and the process elements they concern

From feedback to adoption

Listen at scale — then turn what you learn into governed improvements.

Finding the problem is only half the transformation. Applied SAFe® can connect practitioner feedback back to the roles, activities, work products and guidance in the operating model, propose targeted improvements, and then help the people affected understand what changed.

  1. 1
    Listen

    AI surveys and adaptive voice interviews

    “What gets in the way?”
  2. 2
    Understand

    Patterns and root causes

    “Is this adoption, organization, or process?”
  3. 3
    Recommend

    Targeted changes to the operating model

    “What should change?”
  4. 4
    Govern

    Impact analysis and a process-owner decision

    “Should we adopt it?”
  5. 5
    Enable

    Companion, role guidance and targeted learning

    “What changed for me?”
  6. 6
    Verify

    Pulse feedback, evidence and adoption signals

    “Did it improve?”

Verify feeds the next round of listening

Concrete example

“Release approval is unclear” is not yet an actionable finding.

From raw practitioner feedback to a governed change — and back out to the people it affects. AI interviews are the beginning, not the endpoint.

Interview signal

“We lose time every release because nobody is sure who has final approval.”

  • 14 similar responses
  • Across 3 ARTs
AI synthesis
Recurring issue

Release approval responsibility is interpreted differently.

Likely root cause

Operating-model ambiguity, not resistance to SAFe®.

Affected
  • Approve Release activity
  • RTE responsibility
  • Product Management guidance
  • 3 ART variants
Recommendation
  • Clarify decision ownership in the activity.
  • Add explicit approval evidence.
  • Update affected role guidance.
Process owner

Impact: 3 ART variants · 2 guidance pages · 1 control

Approve recommendation
Enablement
Companion

“Release approval now requires…”

Knowledge check

3 questions for affected RTEs and Product Managers

Illustrative. One finding's path through the loop — the counts are a drawing of how a signal becomes a governed change, not a measurement.

Turn insight into adoption.

Once the operating model changes, the guidance changes with it. The same source used to govern the process can explain the change, answer role-specific questions, and reinforce the new way of working.

Questions we get

How are AI voice interviews different from surveys?
Surveys are useful for identifying broad patterns. Adaptive voice interviews go deeper: they can follow up on answers, ask for concrete examples, explore inconsistencies, and uncover why people experience the transformation differently.
How does the platform know what to ask?
Interviews are grounded in the transformation context — including roles, practices, process changes, ART structure, tailoring decisions, and the intended way of working. Questions can therefore focus on the specific transformation issues you want to understand rather than using a generic questionnaire.
Can interviews distinguish resistance from a process problem?
That is one of the main goals. Findings can show whether friction comes from understanding or adoption, unclear roles, local constraints, conflicting processes, poor tailoring, or an operating model that simply does not fit the work.
Are the interviews confidential?
Interviews can be run confidentially so participants can speak openly. Results are analysed across the selected population to surface patterns and root causes rather than turning the assessment into individual performance monitoring.
What happens after a problem is identified?
Findings are connected back to the relevant transformation questions and, where applicable, to roles, practices, tailoring decisions, or process elements. Leaders can then address communication or adoption issues where those are the cause — or change the operating model where the process itself needs improvement.

See where your transformation is actually working.

Plan a transformation diagnostic