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Appreciative Inquiry

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fatihguner
appreciative-inquiry

Guides strengths-based organizational change using Cooperrider's Appreciative Inquiry 4D cycle: Discovery, Dream, Design, and Delivery. Surfaces peak experiences and positive patterns to amplify what works rather than fixing what is broken. Use when addressing team morale, redesigning processes, integrating acquisitions, reframing organizational challenges, or running culture transformation initiatives where traditional deficit-based problem-solving has stalled.

Overview

Publisherfatihguner
Repositoryforeman
Skill nameappreciative-inquiry
Stars
63
Forks
10
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by fatihguner on GitHub. Read the source before you install it.

Installation

Install the Appreciative Inquiry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/fatihguner/foreman/tree/main/plugins/foreman/skills/appreciative-inquiry
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/fatihguner/foreman.git /tmp/foreman
mkdir -p .claude/skills
cp -r /tmp/foreman/plugins/foreman/skills/appreciative-inquiry .claude/skills/appreciative-inquiry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Appreciative Inquiry in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Appreciative Inquiry on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Appreciative Inquiry is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Read runtime and advisory rules before applying this skill. Other Foreman layers and the catalog are in ../../content/, relative to this SKILL.md.

Appreciative Inquiry

Stop fixing problems. The orthodox approach to organisational change -- diagnose what is broken, analyse root causes, prescribe solutions -- carries an unexamined assumption: that progress comes from eliminating deficits. David Cooperrider, working at Case Western Reserve University in the 1980s, proposed something radical. What if the fastest path to transformation is not fixing weaknesses but systematically amplifying strengths? What if the questions you ask determine the reality you find -- and organisations that ask "what is wrong?" get very good at cataloguing dysfunction, while organisations that ask "what works brilliantly, and how do we get more of it?" generate energy, alignment, and change that deficit-based approaches rarely achieve?

This is not positive thinking. Appreciative Inquiry (AI) is a structured methodology backed by four decades of organisational research. It does not deny problems; it reframes the unit of analysis. Rather than treating the organisation as a machine with broken parts, AI treats it as a living system whose best moments contain the DNA of its future. The shift is neither naive nor cosmetic -- it is epistemological.


The Framework

The Core Principle: The Constructionist Premise

Appreciative Inquiry rests on a foundational claim: organisations move in the direction of the questions they ask. Questions are not neutral instruments of discovery; they are interventions that shape what people notice, discuss, and ultimately create. An organisation that habitually asks "why did we fail?" develops sophisticated failure narratives. An organisation that asks "when did we succeed against the odds, and what made that possible?" develops actionable success patterns.

This is not a rejection of critical analysis. It is a recognition that the inquiry itself is generative -- it creates the conditions for the reality it investigates.

The 4D Cycle

Appreciative Inquiry unfolds through four phases, each building on the previous one:

Discovery: "What Gives Life?"

The first phase maps the organisation's positive core -- the strengths, peak experiences, best practices, and moments of excellence that already exist. This is accomplished through structured interviews in which every member of the organisation (or a representative sample) answers questions designed to surface what works.

Key Discovery questions:

  • Describe a peak experience in this organisation -- a time when you felt most engaged, effective, and proud. What made it possible?
  • What do you value most about this organisation? About your work? About your colleagues?
  • Without being modest, what do you contribute that makes this organisation stronger?
  • What is the core factor that gives life to this organisation -- the thing without which it would cease to exist?

Discovery outputs:

  • A collection of stories that embody the organisation's strengths
  • Identification of recurring themes and positive patterns
  • An inventory of capabilities, assets, and conditions that produce excellence

The discipline of Discovery is rigorous. It is not a feel-good exercise or a brainstorming session. It requires structured interviewing, systematic theme extraction, and evidence-based pattern recognition.

Dream: "What Might Be?"

Using the positive core identified in Discovery, the Dream phase envisions what the organisation could become if its strengths were amplified and its best moments became the norm rather than the exception.

Key Dream activities:

  • Provocative propositions: bold statements of aspiration grounded in demonstrated capability ("We are an organisation where every customer interaction produces a story worth telling" -- based on evidence from Discovery that this already happens sometimes)
  • Collective visioning exercises that translate individual peak experiences into organisational possibilities
  • Mapping the gap between current reality and the envisioned future, framed not as deficit but as potential

Dream outputs:

  • A shared vision statement grounded in demonstrated strengths
  • Provocative propositions for each strategic domain
  • Energy and alignment around a future state that feels achievable because it is extrapolated from existing excellence
Design: "What Should Be?"

The Design phase translates the Dream into concrete organisational architecture: processes, structures, roles, systems, and strategies that would enable the envisioned future.

Key Design activities:

  • Social architecture design: what structures, processes, and norms would make the Dream the default operating mode?
  • Identification of enabling conditions: what must be true for the organisation's best moments to occur reliably, not sporadically?
  • Prototype development: what small-scale experiments can test elements of the new design?

Design outputs:

  • Specific structural and process changes aligned with the Dream
  • Pilot programmes and experiments
  • Accountability frameworks for implementation
Delivery (or Destiny): "What Will Be?"

The final phase translates Design into action. It focuses on implementation, experimentation, and continuous adaptation. Unlike traditional change management, which follows a plan, Delivery in Appreciative Inquiry is emergent -- it learns and adjusts as the organisation experiments with new ways of operating.

Key Delivery activities:

  • Launch pilot programmes designed in the previous phase
  • Establish feedback loops to capture learning
  • Celebrate and publicise early successes (reinforcing the positive core)
  • Adjust design elements based on real-world results

Delivery outputs:

  • Implemented changes with measurable outcomes
  • New stories of success that feed back into the Discovery phase, creating a self-reinforcing cycle
  • An organisational capability for strengths-based change that outlasts any single initiative

The 4D Cycle as a Continuous Loop

    Discovery ──────► Dream
        ▲                │
        │                ▼
    Delivery ◄────── Design

The cycle is not a one-time intervention but a repeatable methodology. Each Delivery phase generates new stories and data that feed the next Discovery phase, creating an upward spiral of organisational capability.


Prompts

Prompt 1 -- Strengths-Based Diagnostic:

Instead of analysing what is wrong with my company, help me conduct an Appreciative Inquiry Discovery phase. I will describe our best moments, peak customer experiences, and times when the team performed at its highest level: [describe 3-5 peak experiences]. Extract the recurring themes, underlying conditions, and core strengths that made those moments possible. Then identify how those strengths could be systematically amplified.

Prompt 2 -- Provocative Proposition Development:

Based on the following organisational strengths and peak experiences: [describe them], help me craft 5 provocative propositions for my company -- bold aspirational statements about what we could become, grounded in evidence of what we have already demonstrated. Each proposition should be specific enough to guide action and ambitious enough to generate energy.

Prompt 3 -- 4D Cycle Planning:

I want to run a full Appreciative Inquiry process with my team of [size] over [timeframe]. Design the complete 4D cycle: specific questions for the Discovery phase interviews, a facilitation plan for the Dream phase workshop, a Design phase structure for translating vision into architecture, and a Delivery phase with pilot experiments and feedback loops. Context: [describe your company, stage, and the strategic challenge you are addressing].

Prompt 4 -- Reframing a Problem as an Inquiry:

My company is facing this challenge: [describe the problem]. Help me reframe it using the Appreciative Inquiry approach. Instead of asking "why is this broken?", construct a set of affirmative questions that redirect attention toward the positive core. Then outline a Discovery process that would surface actionable strengths related to this challenge.


Use Cases

Early-Traction Startup Struggling with Team Morale A 20-person startup has been through a difficult pivot. Morale is low, and the conventional response -- an all-hands where leadership acknowledges problems and presents a recovery plan -- risks reinforcing the deficit narrative. Instead, the CEO runs a compressed Appreciative Inquiry cycle. Discovery: each team member interviews a colleague about their peak experience at the company and what they value most. Dream: the team collectively envisions what the company looks like when those peak moments are the norm. Design: three concrete changes emerge -- restructured sprint planning based on the team's best sprint ever, a weekly "wins" ritual modelled on the team's most energising celebration, and a customer feedback loop inspired by the product's most successful launch. The process takes two weeks and produces measurable morale and productivity improvements within a month.

Growth-Stage Company Redesigning Customer Success A 150-person SaaS company faces rising churn. The instinct is to analyse churned accounts and fix the failure patterns. Appreciative Inquiry inverts the analysis: the customer success team conducts Discovery interviews with the company's longest-tenured and highest-NPS accounts, extracting what made those relationships exceptional. Common themes emerge -- proactive quarterly business reviews, a dedicated technical advocate, and early involvement in product roadmap discussions. These themes become the Design for a new customer success model applied to all accounts, not just the top tier. Churn decreases 18% in two quarters.

Scale-Stage Company Integrating an Acquisition A 600-person company acquires a 100-person competitor. Rather than imposing the acquirer's processes on the target, leadership conducts a joint Appreciative Inquiry across both organisations. Discovery surfaces what each company does best. Dream envisions a combined entity that amplifies both organisations' strengths. Design produces an integration plan that preserves the acquired company's best practices (agile product development, close customer relationships) while extending the acquirer's strengths (enterprise sales, compliance infrastructure). Employee retention during the integration exceeds industry benchmarks by 40%.


Anti-Patterns

  1. Appreciative Whitewashing. Using the framework to suppress legitimate criticism or silence dissent. "Focus on the positive" is not a mandate to ignore serious dysfunction. AI does not deny problems -- it approaches them through a different lens. If employees are burning out, the question is not "what do you love about working here?" but "when have you felt most energised and supported, and what conditions made that possible?"

  2. Skipping Discovery. Jumping to Dream without the disciplined interview process that surfaces genuine strengths. Without rigorous Discovery, the Dream phase produces fantasies untethered from organisational reality -- aspirational statements that inspire no one because they connect to nothing that already exists.

  3. Treating AI as a Workshop, Not a Methodology. Running a single Appreciative Inquiry offsite and expecting lasting change. The 4D cycle is designed to be continuous. A one-off workshop produces enthusiasm that dissipates within weeks unless the Design and Delivery phases follow through.

  4. Ignoring Structural Issues. Appreciative Inquiry is powerful for cultural and strategic challenges but insufficient for addressing structural problems -- a toxic manager, a fundamentally flawed business model, a compliance violation. Strengths-based inquiry complements but does not replace structural intervention.

  5. Leader-Driven Discovery. Conducting the Discovery phase by asking only leadership about peak experiences. AI is deliberately democratic -- its power comes from surfacing perspectives and stories from every level of the organisation. Leadership-only Discovery produces a self-congratulatory narrative, not an accurate portrait of the positive core.


By Stage

StageFocusKey Difference
Early TractionTeam energy and directionSmall teams benefit from compressed AI cycles that surface shared values and peak experiences, establishing a strengths-based culture before deficit-based habits calcify.
GrowthScaling what worksGrowth-stage companies have proven strengths but risk losing them during rapid scaling. AI systematically identifies and codifies what works so it can be replicated across new teams and geographies.
ScaleOrganisational transformationAt scale, AI provides an alternative to top-down change management. Large-scale AI summits (involving hundreds of participants) generate alignment and energy that directive approaches cannot match.

Output Template

markdown
# Appreciative Inquiry: [Challenge/Opportunity]

## Discovery Phase Summary
### Peak Experience Themes
1. [Theme] -- Frequency: [X/Y interviews] -- Example: [Brief story]
2. [Theme] -- Frequency: [X/Y interviews] -- Example: [Brief story]
3. [Theme] -- Frequency: [X/Y interviews] -- Example: [Brief story]

### Positive Core Inventory
- **Strengths:** [List organisational strengths surfaced]
- **Conditions for excellence:** [What must be true for peak performance]
- **Untapped assets:** [Capabilities present but underutilised]

## Dream Phase: Provocative Propositions
1. "[Bold aspirational statement grounded in Discovery evidence]"
2. "[Bold aspirational statement grounded in Discovery evidence]"
3. "[Bold aspirational statement grounded in Discovery evidence]"

## Design Phase: Enabling Architecture
| Design Element | Current State | Desired State | Change Required |
|---------------|---------------|---------------|-----------------|
| [Process/Structure] | [Now] | [Future] | [Specific change] |

## Delivery Phase: Pilot Experiments
| Experiment | Owner | Timeline | Success Metric |
|-----------|-------|----------|----------------|
| [Pilot 1] | [Name] | [Dates] | [How measured] |
| [Pilot 2] | [Name] | [Dates] | [How measured] |

## Feedback Loop
- Review cadence: [Weekly/Bi-weekly]
- Learning capture: [Method]
- Cycle refresh: [When to re-enter Discovery]

Related Skills

  • Organisational Culture -- Appreciative Inquiry operates on Schein's Layer 2 (espoused values) and Layer 3 (basic assumptions), shifting both by reframing the questions the organisation asks about itself.
  • Kaizen & BPR -- Both frameworks share a commitment to continuous improvement but from opposite starting points: Kaizen eliminates waste while AI amplifies strengths, making them a complete improvement methodology when combined.
  • GROW Model -- GROW's Reality and Options phases parallel AI's Discovery and Dream phases at the individual coaching level, providing a structurally complementary one-on-one tool.
  • Kotter's Change Model -- Kotter provides the sequential change management structure while AI provides the strengths-based energy and engagement that sustain momentum through Kotter's eight steps.
  • Psychological Safety -- The Discovery phase requires honest sharing of peak experiences, which only occurs when Edmondson's psychological safety conditions are in place.
  • Growth Mindset -- Dweck's belief that capability develops through effort aligns with AI's assumption that an organisation's best moments contain the DNA for its future growth.

Frequently asked questions

What does the Appreciative Inquiry AI skill do?

Guides strengths-based organizational change using Cooperrider's Appreciative Inquiry 4D cycle: Discovery, Dream, Design, and Delivery. Surfaces peak experiences and positive patterns to amplify what works rather than fixing what is broken. Use when addressing team morale, redesigning processes, integrating acquisitions, reframing organizational challenges, or running culture transformation initiatives where traditional deficit-based problem-solving has stalled.

Why use Appreciative Inquiry on TypingMind?

Because you install it once and use it with any model. Appreciative Inquiry is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Appreciative Inquiry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fatihguner/foreman/tree/main/plugins/foreman/skills/appreciative-inquiry. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Appreciative Inquiry?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Appreciative Inquiry?

As many as you like. As long as a model supports skills, you can use Appreciative Inquiry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Appreciative Inquiry AI skill free?

Yes. It is published on GitHub by fatihguner under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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