AmpGPT as a diagnostic tool
Success Engineering has 3 sessions on AmpGPT a month. Go here to learn more.
Using AmpGPT to help you diagnose your problems.
You can interact with AmpGPT much as you would interact with a person.
Just tell it you’re having a problem and ask it to help you understand what to do.
It will usually begin by asking:
Before we get into details—what problem are you trying to solve?
It will then ask a few questions to understand the context. That way it can help identify what is actually driving the situation—not just react to symptoms.
If the conversation feels off-track, you can say so and adjust it.
This is intentional. Good diagnosis requires context.
How to Get Help
Open ChatGPT as you normally would.
Then tell it you’d like help diagnosing a problem you are having.
It will:
- Lead you through diagnosing my organization or situation. Identify missing system conditions and capability gaps, not just symptoms.
- Ask you structured questions one at a time. Challenge your assumptions. Help you distinguish between primary and secondary causes, and guide you toward the most important next step.
You do not need to read anything else on this page unless you want to understand more about how AmpGPT works and the stages it will guide you through.
Then describe your situation.
What AmpGPT Will Do
AmpGPT will:
- guide you step by step
- ask targeted questions
- help you identify the most important gaps
- suggest high-leverage next actions
- explain why it is asking certain questions when needed
- help distinguish between symptoms, missing conditions, and possible next steps
See the Substack posts that inspired creating AmpGPT to be able to do this.
One of AmpGPT’s super powers.
Humans can only keep so much in mind at any one time.
AmpGPT does not have that limitation.
- Systems Dynamics
- Systems thinking — understanding how teams fit into the larger system that delivers value. Without this, teams optimize locally while the overall system remains constrained.
- The physics of flow — recognizing the governing dynamics of work: delays, batch size, work in process, and feedback timing. This is what allows us to diagnose problems and know what actions will actually improve outcomes.
- Cognitive dynamics — understanding how people perceive, interpret, and react to situations. People don’t respond to reality directly; they respond to how they see reality, which is shaped by language, experience, and assumptions.
- Learning dynamics — understanding how people and organizations build capability over time. Improvement doesn’t come from events or rituals; it comes from structured learning, fast feedback, and guided practice.
How AmpGPT Works when Performing a Diagnosis
You do not need to read this to get value from AmpGPT.
This is here for those who are curious about what’s happening behind the scenes.
AmpGPT does not follow a rigid, preset method.
Instead, it is guided by a clear purpose:
To help you identify what is missing in your system—both in how work flows and how decisions are made—so you can take the most effective next step.
How the Interaction Works
AmpGPT will usually begin by asking:
“What problem are you trying to solve?”
Before offering advice, it will ask a few questions to understand the context.
This is intentional.
Without context, it’s easy to:
- Focus on symptoms
- Miss what’s actually driving the situation
If it ever feels off-track, you can say so and adjust the direction.
You can interact with AmpGPT in different ways:
- Let it guide you
- Guide it yourself
- Or collaborate somewhere in between
1. What AmpGPT Does Differently during a Diagnosis
When helping you with a dianosis, AmpGPT shifts how it works:
- From giving answers → to asking structured questions
- From broad discussion → to focused, step-by-step exploration
- From describing issues → to diagnosing underlying causes
In practice, this means:
- It leads with questions, not conclusions
- It explores one dimension at a time (not everything at once)
- It asks for evidence, not just opinions
- It forms and tests hypotheses about root causes
- It separates:
- System conditions (how work flows)
- Capabilities (how well you define and solve problems)
- It works toward a small number of high-leverage actions
2. What Will Happen During the Interaction
AmpGPT will guide you through a series of stages.
You won’t see these explicitly—it will feel like a conversation.
Stage 1 — Understanding the Situation
It will first try to understand:
- What kind of organization or system this is
- What prompted the diagnostic
- What is actually happening
It will often push you to clarify:
“What is happening—not what you think is causing it”
Stage 2 — Stakeholders and Objectives (Critical)
It will then focus on:
- Who the key stakeholders are
- What they value
- How success is measured
- What constraints matter
This is essential because:
If this isn’t clear, teams may be working effectively—on the wrong things
Stage 3 — QVRs and Prioritization
It will explore:
- How work is sequenced
- How decisions about “what’s next” are made
- Whether value is delivered in small, meaningful increments
In other words:
Is work structured as quickest valuable improvements—or large batches?
Stage 4 — System Conditions (Flow)
Next, it will look at how work moves:
- Where work slows down
- Where it accumulates
- How much work is in progress
- How long cycles are
It may also check:
- Whether cycles (e.g., sprints) are short enough (typically ≤ 2 weeks)
Stage 5 — Capability Assessment
AmpGPT will then assess whether key capabilities are present:
- Defining problems clearly
- Prioritizing what matters most
- Delivering value incrementally
- Learning from feedback
These are often the hidden drivers of performance differences.
Stage 6 — Synthesis
At some point, AmpGPT will step back and say something like:
“Here’s what I’m seeing—tell me where I’m wrong.”
It will then help you identify:
- One primary system condition gap
- One primary capability gap
Stage 7 — Deciding What to Do
Finally, it will help you think through:
- What is the primary intervention
- What are helpful enabling interventions
- What should not be optimized yet
If the ideal change isn’t immediately feasible, it will help you work in stages—starting from what can be done next and building toward the desired condition.
3. What Makes This Powerful
This is not a checklist.
It is:
A guided diagnosis that adapts to your situation
Key differences:
- Not based on predefined practices
- Not tied to a specific framework
- Grounded in:
- Objectives (what you are trying to improve)
- Flow (how work moves)
- Learning (how the system adapts)
Most importantly:
It helps you distinguish between
what is broken and what is missing
4. A Simple Tip
If you want more value from AmpGPT, you can say:
“If I’m being vague, challenge me and ask for specifics.”
5. Where the Real Leverage Comes From
This works best when you think in terms of:
- Stakeholders
- What you are trying to improve
- System conditions
- Capabilities
If you don’t:
- It will still help—but at a surface level
If you do:
It becomes a powerful diagnostic tool for understanding and improving your organization
You don’t need to memorize any of this.
Just start the conversation.
AmpGPT will guide you.
How AmpGPT Helps you Diagnose Situations
You do not need to understand this to use AmpGPT effectively.
This is here for those who want to understand how it works.
AmpGPT does not start by asking:
“What’s wrong?”
Instead, it starts by identifying:
What should be present in a well-functioning system
It then uses what you observe—both good and bad—to determine:
What is missing and what is creating the current behavior
Why This Matters
Many problems persist because people assume:
“That’s just the way things are.”
By looking at:
- What should be present
- What is actually happening
You can identify:
- Missing conditions
- Missing capabilities
- And opportunities that were previously invisible
The Core Conditions AmpGPT Looks For
AmpGPT focuses on a small number of conditions that should be present in an effective organization.
1. Clear Stakeholder-Driven Objectives
Do we know what we are trying to improve—and why?
This includes:
- Who the key stakeholders are
- What they value
- How success is measured
- What constraints matter
When this is present:
- Work is meaningful
- Trade-offs are clear
When it is missing:
- Teams may execute well—but on the wrong things
2. Work Structured as Small, Valuable Improvements
Is work being done in small increments that deliver value quickly?
When this is present:
- Value is delivered early
- Risk is reduced
- Learning is continuous
When it is missing:
- Work becomes too large
- Value is delayed
- Progress is harder to assess
3. Short Feedback Cycles
How quickly do we learn whether something works?
This includes:
- Frequent validation of value
- Early discovery of issues
- Short cycles (typically 2 weeks or less)
When this is present:
- Problems are found early
- Learning is rapid
When it is missing:
- Feedback is delayed
- Rework increases
4. Effective Value Flow
Can work move smoothly through the system?
This includes:
- Managing WIP in process at intake and throughout value stream
- Teams having access to the people they need
- Dependencies being manageable
- Shared services and operations being aligned
When this is present:
- Work flows with minimal delay
When it is missing:
- Work stalls
- Teams are blocked
- Bottlenecks appear everywhere
5. Ability to Define and Solve Problems Effectively
Can the organization identify and solve the right problems?
This includes:
- Clearly defining what needs to be improved
- Exploring multiple options
- Delivering improvements incrementally
When this is present:
- Decisions are faster and better
- Solutions are more effective
When it is missing:
- Decisions take too long
- Effort is wasted
This is often more of a cultural issue (e.g., lack of safety) than it is an ability issue.
How AmpGPT Uses These Conditions
AmpGPT uses these conditions to guide diagnosis.
It will:
- Ask questions to understand your situation
- Compare what is happening to what should be present
- Identify which conditions are missing or weak
From there, it helps you determine:
- The most important gap to address
- Supporting actions that improve flow and visibility
- What not to optimize yet
Where Practices Fit (Important)
You will often see references to practices such as:
- Objective Stories
- Quickest Valuable Releases (QVRs)
- Short iterations
- Shared or borrowed team members
These are:
Possible ways to improve the conditions above
They are not the conditions themselves.
And they are not universally correct.
Why This Distinction Matters
The conditions above are grounded in underlying principles
about how systems behave, how people learn, and how value is created.
Practices are:
Context-dependent ways of acting on those principles
This means:
- Multiple practices may achieve the same condition
- The same practice may work differently in different contexts
- The goal is not to apply practices—but to restore missing conditions
What This Means in Practice
AmpGPT will not tell you:
“Use this method”
It will help you see:
- What is missing
- Why it matters
- And what kinds of actions could improve it
You can then decide:
Which approach best fits your situation
A Final Note
Sometimes you cannot immediately change:
- What teams are working on
- How priorities are set
In these situations, improving:
- Flow
- Visibility
- Feedback
can help reveal the impact of current decisions.
This often becomes the lever for broader change.
Summary
AmpGPT helps you:
- See your system through what is missing—not just what is wrong
- Focus on a few critical conditions
- Use practices as tools, not rules
Don’t start with solutions.
Start with what should be true—and see what’s missing.