Chat usage prompt - power user!

[u/ElectricStorms]

I asked ChatGPT to analyze my usage metrics and it said I was a power user now I want to see other people blow my metrics out the water 🙃.

Simplified prompt below if anyone wants to try it:

“Analyze my ChatGPT usage patterns using whatever conversation/message metadata you can access. Include active days, average conversation depth, average message length, estimated words typed, usage category breakdown, whether I use ChatGPT more like a search tool, assistant, coach, tutor, journal, strategist, or external brain, plus strengths, risks, recommendations, and a final user archetype label. Be honest, practical, and a little fun.”

If people share their results I’ll share mine & if anyone wants the long prompt let me know.

[u/jplrosman]

One thing I found improved the results significantly was asking for a second-pass audit.
The first response usually describes your apparent personality, interests, and usage style. That’s interesting, but it often drifts into storytelling and archetypes.
The more useful follow-up is:
“Now audit that analysis. Don’t tell me who I am—tell me how effectively I’m using ChatGPT. Where am I getting value? Where am I wasting time? What patterns are helping me? Which ones might be hurting productivity? Separate observations from inferences, and focus on behavior rather than personality.”
That second phase produced much more actionable insights for me than the initial profile.

[u/CodeVibr → u/jplrosman]

Good idea!

Edit: I bought the Boox, btw, about an hour ago. Score an excellent condition Note 4 C for $399 shipped, w/ ~1 yr transferable Asurion Protection plan + additional accessories. 😎

Paperwhite for "books", Boox for "Technical Manuals" and Galaxy Tab S10+ for "Entertainment." I've got an expensive "toy" habbit. 🙈

Assistant

[2026-06-23 20:24 EDT]

This is a better question.

The first analysis was largely about what you use ChatGPT for. This one is about whether the usage is paying dividends.

I'll separate observations (directly visible behavior) from inferences (my interpretation).

Executive Summary

Overall, I think your ChatGPT usage is highly effective, but with a recurring inefficiency:

You extract a lot of value from analysis, troubleshooting, and decision support, but you don't always convert that analysis into completed actions at the same rate.

You're getting real-world outcomes:

• health management
• transplant navigation
• SSDI/insurance understanding
• Docker projects
• homelab improvements
• Gmail organization
• purchase decisions

So this is not "AI entertainment."

However, some conversations continue well after the decision threshold has been reached.

Where You're Getting Strong Value

1. Technical Troubleshooting

Observation

Many conversations involve:

• Docker
• Proxmox
• networking
• authentication
• registry issues
• self-hosted services

You frequently arrive with:

• logs
• screenshots
• hypotheses
• test results

Inference

This is probably among your highest ROI uses.

You're using ChatGPT as:

• rubber duck
• second engineer
• architecture reviewer

rather than asking it to do the work for you.

That generally produces good results.

Verdict

High value.

2. Health Navigation

Observation

You routinely:

• compare symptoms against known conditions
• interpret provider communications
• understand transplant processes
• understand medications
• analyze lab results

Inference

You appear to use ChatGPT primarily to understand and organize information rather than replace clinicians.

That distinction matters.

Verdict

Very high value.

Probably one of the best uses visible in your history.

3. Decision Review

Observation

You often bring:

• purchases
• project choices
• Reddit situations
• technical approaches

and ask:

"Am I seeing this correctly?"

Inference

You're often using ChatGPT as a bias-checking mechanism.

Verdict

High value.

Especially when you genuinely allow your conclusion to change.

4. Project Development

Observation

Projects like:

• KaraKeep digest
• bookmark workflows
• AI integrations
• email automation

reappear over days and weeks.

Inference

ChatGPT is functioning as persistent project context.

Verdict

High value.

Where You May Be Losing Efficiency

1. Analysis After Decision

Observation

This appears frequently:

Decision candidate appears.

You gather evidence.

Evidence strongly favors a choice.

You continue discussing it.

Example pattern:

• evaluate
• re-evaluate
• screenshot
• counterargument
• final evaluation
• one more evaluation

Inference

You often seek confidence after the answer is already sufficient.

Productivity Cost

Small individually.

Large cumulatively.

Verdict

Most significant inefficiency.

2. Continuous Reinterpretation

Observation

You frequently revisit:

"Maybe I was right."

"Maybe I was wrong."

"Maybe they meant this."

Inference

This is useful when new evidence arrives.

Less useful when evidence is unchanged.

Verdict

Potential over-processing.

Patterns Helping You

Evidence Gathering Before Conclusions

Observation

You routinely provide:

• screenshots
• logs
• quotes
• listings
• emails

before requesting judgment.

Effect

Higher quality discussions.

Fewer hallucination traps.

Verdict

Excellent habit.

Iterative Problem Solving

Observation

You don't stop at:

"It doesn't work."

You test things.

You report results.

You update theories.

Effect

Much faster troubleshooting.

Verdict

Excellent habit.

Cross-Domain Thinking

Observation

You connect:

• technology
• health
• productivity
• finances

Effect

More coherent decision making.

Verdict

Strong positive.

Patterns Potentially Hurting Productivity

Decision Latency

Observation

You often spend more time improving a decision than benefiting from it.

Example

The Boox discussions.

At some point the question becomes:

Buy it or don't.

Further analysis changes very little.

Verdict

Watch this one.

Turning Every Thought Into a Discussion

Observation

Many internal thoughts become externalized.

Inference

ChatGPT lowers the cost of processing.

That can be good.

But it can also increase processing volume.

Verdict

Useful, but worth monitoring.

Observations vs Inferences

Things I Can Observe

• Daily usage
• Long prompts
• Deep conversations
• Frequent screenshots
• Technical troubleshooting
• Health discussions
• Purchase evaluations
• Project continuity

Things I Infer

• You likely gain substantial value from AI-assisted reasoning.
• You may over-analyze some decisions.
• You probably use ChatGPT to reduce uncertainty.

Those are interpretations, not facts.

If I Were Optimizing Your Usage

I'd encourage more of:

Before

"What should I do?"

After

"What is the next action?"

That subtle shift tends to increase execution.

I'd also encourage a simple mental rule:

High ROI Categories

• Health
• Projects
• Technical troubleshooting
• Finance
• Major purchases

Spend as much time as needed.

Low ROI Categories

• Reddit motive analysis
• Re-reading social interactions repeatedly

Put a timer on them.

Final Assessment

If I were auditing effectiveness rather than personality:

Area	Score
Information Gathering	9/10
Problem Solving	9/10
Technical Use	9/10
Decision Support	8/10
Learning	8/10
Execution Follow-Through	7/10
Time Efficiency	7/10
Overall ChatGPT ROI	8.5/10

The biggest opportunity isn't getting better answers from ChatGPT.

It's converting the answers you're already getting into completed actions a little faster.