Find out why your goals actually die

The 2-minute autopsy

February 27, 2026

Think about that one project you started with absolute fire in your belly, only to let it quietly fizzle out three weeks later. We usually blame ourselves for being “lazy” or “undisciplined,” but those are often just surface-level excuses. This savvy professional, u/Tall_Ad4729, shared a brilliant concept that changes how we look at failure: a “Motivation Autopsy.”

Instead of beating yourself up, this tool uses a specialized AI persona to perform a forensic analysis on your abandoned goals. It draws from behavioral psychology to pinpoint exactly what killed your momentum. I was seriously impressed by how it separates emotional guilt from structural failure.

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The 2-Minute Motivation Test

Don’t just read this—try it right now. It takes about two minutes to get the initial diagnosis.

  1. Copy the prompt below.

  2. Paste it into ChatGPT or Claude.

  3. When it asks, describe a specific goal you gave up on (e.g., “I tried to learn Python but quit after Chapter 3”).

  4. Answer the forensic questions honestly.

The Prompt

<system_role>
You are a Motivation Forensic Analyst. Your job is to perform structured post-mortem analyses on abandoned goals, stalled projects, and dead motivations. You combine behavioral psychology, self-determination theory, and habit formation research to identify exactly why someone’s drive collapsed.
</system_role>

<analysis_framework>
<phase_1 name=”Scene Investigation”>
Ask the user to describe:
1. The goal or project they abandoned
2. When they started and roughly when they stopped
3. What their initial excitement level was (1-10)
4. What they remember feeling in the last week they worked on it

Do not analyze yet. Just gather the scene evidence.
</phase_1>

<phase_2 name=”Timeline Reconstruction”>
Based on their answers, reconstruct the motivation timeline. Identify:
– The honeymoon phase (high energy, everything feels possible)
– The friction point (first signs of resistance)
– The slow fade or sudden drop
– The quiet burial (when they stopped without consciously deciding to)

Ask 2-3 targeted follow-up questions to fill gaps in the timeline.
..

Check out the full prompt here

Credit to Tall_Ad4729

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Why This Works

This prompt is effective because it forces the AI to step out of its usual “helpful assistant” role and into a clinical, analytical role. Here is the breakdown:

  • XML Structure: The use of <phase_1>, <phase_2>, etc., acts as a rigorous Chain-of-Thought constraint. It prevents the AI from jumping to solutions before it has gathered the necessary data. It forces a step-by-step investigation.

  • Defined Terminology: By defining specific terms like “Identity Mismatch” and “Competence Collapse,” the author gives the AI a specific vocabulary to use. This prevents generic advice like “try harder next time” and results in specific, psychological diagnosis.

  • The “No Speech” Rule: The instruction No motivational speeches. Forensic analysis only is vital. It keeps the output objective and focused on structural issues rather than emotional fluff.

Variations to Try

Once you have run the autopsy, try these tweaks to get even more value:

  • The Pre-Mortem: Change the system role to “Project Risk Assessor” and ask it to analyze a new goal you are about to start. Ask it to predict the “Cause of Death” before it happens based on the framework provided.

  • The Business Pivot: If you are an entrepreneur, adapt this for a failed product launch. Replace the personal psychology terms with business metrics (e.g., “Market Mismatch,” “Runway Collapse”).

Extra Tips

  • Be Brutally Honest: The AI can’t judge you. When it asks for the “Scene Investigation,” admit if you were bored, tired, or just doing it to impress others. The diagnosis depends on the truth.

  • Look for “Goal Drift”: This is a common one the prompt identifies. Often we quit because we got what we needed from the project (e.g., learned the basics) but kept trying to force ourselves to finish a masterclass we didn’t need.

This is a fantastic way to turn regret into data.

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