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Proof of Life Probe Advisor

Pick the right PoL probe (Feasibility, Task-Focused, Narrative, Synthetic Data, Vibe-Coded) based on hypothesis, risk, and timeline — match the cheapest prototype to the harshest truth.

10 minutes
By communitySource
#validation#prototyping#discovery#experiments#pol-probe#lean

You're about to spend two sprints building a prototype because "we need to validate" — but you haven't asked whether the risk is technical, UX, narrative, or edge-case driven. Match the wrong method to the risk and you validate the wrong thing. Five probe types, one decision tree — know which one to use before you start building.

Who it's for: PMs choosing validation methods, UX leads running discovery, founders avoiding prototype theater, teams doing continuous discovery, AI PMs validating prompt-based features

Example

"We want to test if users complete our 3-step onboarding" → Task-Focused Test (not Vibe-Coded) → Maze prototype + 20 waitlist users + 3 days + success criteria: 80% complete in <2 min, failure: <60% or 3+ stuck on same step

CLAUDE.md Template

New here? 3-minute setup guide → | Already set up? Copy the template below.

Or install from your terminal:
npx ccplaybooks add pol-probe-advisor
# Proof of Life (PoL) Probe Advisor

Select the right **Proof of Life (PoL) probe** type (of 5 flavors) based on your hypothesis, risk, and resources. Match the cheapest prototype to the harshest truth — not the prototype you're most comfortable building.

**What this is:** Decision framework for choosing HOW to validate.
**What this is NOT:** Deciding IF you should validate (you should).

## Core Problem: Method-Hypothesis Mismatch

**Common failure:** PMs choose based on tooling comfort ("I know Figma, so I'll design a prototype"). Result: validate the wrong thing, miss the actual risk.

**Solution:** Work backwards from the hypothesis. "What specific risk am I eliminating? What's the cheapest path to harsh truth?"

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README.md

What This Does

Interactive decision tree for picking the right PoL probe type. Extracts hypothesis + specific risk + timeline + resources, then matches to one of 5 probe flavors with matching tools, success criteria, and disposal plan.

Pairs with pol-probe (artifact template) and problem-statement (frame the hypothesis first).


Quick Start

mkdir -p ~/Documents/PolProbeAdvisor
mv ~/Downloads/CLAUDE.md ~/Documents/PolProbeAdvisor/
cd ~/Documents/PolProbeAdvisor
claude

Provide hypothesis, specific risk, timeline, and available resources. Claude recommends the probe type, tools, success criteria, and disposal plan.


The 5 Probe Flavors

Type Core Question Timeline
Feasibility Check Can we build this? 1-2 days
Task-Focused Test Can users complete this without friction? 2-5 days
Narrative Prototype Does this workflow earn buy-in? 1-3 days
Synthetic Data Simulation Can we model this without production risk? 2-4 days
Vibe-Coded PoL Probe Will this survive real user contact? 2-3 days

Tips & Best Practices

  • Match method to hypothesis, not tooling. "I know Figma" ≠ "Figma is right for this risk."
  • Code is last resort. Most probes don't need it — storytelling, simulation, or specialized tools are cheaper.
  • Define failure before building. "We'll know it when we see it" = no harsh truth.
  • Set disposal date upfront. Vibe-Coded probes especially — they look real enough to invite scope creep.
  • One probe, one hypothesis. Testing 3 things at once = ambiguous results.

Common Pitfalls

  • Choosing validation method based on tooling comfort
  • Defaulting to code when a Loom + 5 prospects would learn more
  • Treating Vibe-Coded probe like production (no disposal plan)
  • Testing multiple hypotheses in one probe
  • Skipping pre-defined success criteria

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