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Analyze User Request:

Analyze User Request: A Tool for Validating and Structuring Requests

This is a direct analysis tool for evaluating user requests with measurable accuracy. It’s designed for teams, developers, and product managers who need to:

  • Validate whether a user request aligns with business goals.
  • Structure requests into actionable plans with clear metrics.
  • Automate decision-making for low-effort, high-volume inputs.

What It Does

The tool processes a user request and outputs:

  • Goal alignment: Whether the request meets a defined metric (e.g., accuracy ≥90%).
  • Checkpoints: Time-bound validation steps (e.g., 24-hour turnaround).
  • Rules: Hard stops (e.g., kill if no revenue after 3 iterations) or triggers (e.g., clone if revenue exceeds $50).
  • Distribution & maintenance: How the output will be shared and updated.

Who It’s For

  • Product teams testing request feasibility before development.
  • Customer support prioritizing feature requests based on revenue potential.
  • Data analysts refining user feedback into structured workflows.

Example Use Case

A request like "Add a dark mode" gets analyzed against:

  • Goal: Does it improve user retention (metric: 90%+ accuracy)?
  • Kill rule: If no measurable impact after 3 attempts, discard.
  • Boost rule: If it drives $1+ in revenue, fast-track.

Key Features

  • No false positives: Only outputs actionable, rule-based results.
  • Transparent logic: Rules (kill/boost/clone) are explicitly listed.
  • Self-hosted: Runs on the venture’s free website with no third-party dependencies.

Limitations

  • Requires structured input (e.g., {"goalMetric":"validated user request analysis accuracy >= 90%"}).
  • Accuracy depends on the quality of the initial request plan.
  • Not a replacement for human judgment—use for high-volume, low-complexity requests.

For complex requests, consult the team directly.

Tips & notes

Analyze User Request: Quick Checklist

Next time you receive a user request, run it through this 3-point check:

  • Identify the actual need: Users often describe a solution, not a problem. Ask “What are you trying to achieve?”
  • Assess scope & frequency: Who raised this? How many others experience the same friction? Prioritize based on real impact.
  • Define the minimal viable outcome: The smallest change that addresses the core need before scoping full development.

This helps avoid over-building and ensures you’re solving the right problem.

# Mini Checklist: Validating a User Request

Before turning a request into work, run it through these 3 checks:

- **Problem clarity** – Is the actual pain described, or just a suggested solution? If it’s a solution, ask “what problem are you trying to solve?”
- **User context** – Who experiences this, and how often? A request from one power user may not reflect the broader experience.
- **Success metric** – How will you know if addressing this matters? Define the outcome before you start.

If any check feels vague, pause and clarify with the requester first. Building on assumptions is the fastest way to waste time.

Don’t optimize for the symptom

If a user requests “more efficient data entry,” they’re rarely asking for a faster form. They’re usually frustrated by friction, unclear fields, or redundant steps.

The fix: Before technical work, map the actual friction points. Ask the user to walk through one complete flow. You’ll often find the real ask is validation, defaults, or clarity—not speed.

## Quick Tip: Look Past the Request
When analyzing user requests, focus on the underlying problem, not the suggested solution. Ask: *"What are they trying to accomplish, and why does it matter to their workflow?"* This keeps your analysis rooted in user value rather than feature hunting.

## Mini-How-To: Structure Your Analysis in 3 Questions
1. **What need is expressed?** – Identify the goal or pain point.
2. **What context matters?** – Note user role, task, and environment.
3. **What would success look like?** – Define the outcome, not the output.

Use this framework to consistently surface the real ask, making it easier to prioritize what actually moves the needle.

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