6.2 Positive Psychology, Resilience and Appreciative Inquiry
Key Takeaways
- Personal resilience is both a character trait and a skill, and individuals can increase it by learning appropriate skills
- Resilience skills include insight, relaxation, using experience, positivity, building meaning and countering negativity
- Appreciative Inquiry focuses on positive identification of what is currently working well and how it can be built on
- The Appreciative Inquiry 4-D cycle is discovery, dream, design and destiny
- Appreciative Inquiry develops the positives that already exist rather than focusing on fixing something currently broken
Positive psychology addresses the link between motivation and a positive mindset. CM3 covers two elements: personal resilience and Appreciative Inquiry.
Personal resilience is a skill, not just a trait
The framing is important. Personal resilience is both a character trait and a skill, and crucially, individuals can develop and increase their resilience by learning appropriate skills.
That second clause changes what a change manager can do. If resilience were purely a trait, the only option would be to select for it. Because it is partly a skill, resilience can be built during a change — which matters, because change is precisely when people need it.
The six resilience skills
| Skill | What it involves |
|---|---|
| Insight | Learning to notice where in the body you are holding the stress you feel |
| Relaxation | Using mindfulness, meditation or other techniques |
| Using experience | Recalling and valuing past occasions when you have overcome difficult times |
| Positivity | Learning to use daily tools like a simple gratitude journal or listing accomplishments |
| Building meaning | Finding and engaging in activities you find meaningful |
| Countering negativity | Learning techniques for handling negative thoughts and fears that occur |
Using experience deserves particular attention in a change context. Reminding people of a previous difficult change they came through is one of the cheapest and most effective resilience interventions available — it converts an abstract fear into a concrete precedent. It also connects to the history of change context factor from the opposite direction: where the history is genuinely good, use it.
Building meaning connects directly to Pink's purpose. Both point at the same finding: people cope with more difficulty when the difficulty is in service of something they value.
Appreciative Inquiry
Appreciative Inquiry (AI) focuses on a positive identification of what is currently working well. It explores how this can be built on and strengthened to move the organisation to a desired future state.
CM3 gives the reasoning explicitly: focusing on the positive helps increase motivation to change, because all aspects of the change are spoken about in positive terms and because the change is seen as a logical journey. AI develops the positives that already exist rather than focusing on fixing something that is currently broken.
This is the key contrast to hold onto. A conventional change diagnosis identifies problems and proposes fixes, which implicitly tells everyone involved that what they have been doing is deficient. AI starts from what works and asks how to have more of it. The emotional difference for the people involved is substantial.
The 4-D cycle
AI asks structured questions around four areas:
| Stage | What it does |
|---|---|
| Discovery | Looking at what currently works well in the organisation — and valuing it |
| Dream | Exploring how these successes can be built on and expanded — an exercise in imagination |
| Design | Creating a plan to implement the dream — an opportunity to create something new |
| Destiny | Moving the organisation towards the dream — engaging and developing people to deliver |
All four begin with D, which makes the cycle easy to recall but also easy to scramble. The order runs from finding what works, to imagining more of it, to planning it, to delivering it.
Note that AI's discovery stage is not the same as the continuous change cycle's discovery stage, although they are compatible. AI's discovery specifically seeks what is working well; the continuous cycle's discovery gathers insight of all kinds.
Using AI in a change initiative
Three practical applications:
As a diagnostic alternative. Where a conventional readiness assessment would ask "what are the barriers?", an AI-framed version asks "where in the organisation is something like this already working, and what makes it work there?" The answers are usually more actionable, because they identify real internal practice rather than theoretical fixes.
As an engagement format. AI workshops tend to generate more participation than problem-focused ones, particularly from groups who feel blamed for the current state.
As a communication frame. Describing a change as building on a genuine existing strength is both more motivating and, where true, more credible than a burning-platform narrative. Where it is not true, do not fake it — the honesty point from the change curve applies.
The balance with survival anxiety
Appreciative Inquiry sits in productive tension with Schein's argument that organisations need to amplify survival anxiety to change at an acceptable pace. The two are not contradictory: Schein's model also requires psychological safety to keep learning anxiety low, and AI is one way of providing it. A change narrative that combines an honest account of why the current position is unsustainable with a genuine appreciation of what the organisation already does well is stronger than either half alone.
What are the four stages of the Appreciative Inquiry cycle, in order?
How does Appreciative Inquiry differ from a conventional problem-focused change diagnosis?
Which resilience skill involves recalling and valuing past occasions when you have overcome difficult times?