The Problem Framer is the first specialist to engage on any product work at Headout. Use this skill whenever a PM has a vague idea, a half-formed brief, a Slack thread to untangle, or a gut feeling that something should be built. It transforms fuzzy inputs into a sharp, structured problem frame that every other specialist (Spec Writer, Data Analyst, Prototype Builder) can work from. Trigger this skill for inputs like: "we should improve X", "users are dropping off at Y", "can we do something about Z", "here's a thread from Atish", "I want to build a feature for...", or any product idea that hasn't yet been turned into a problem statement. Also trigger when a PM is stuck on how to frame a problem or wants a gut-check on whether they're solving the right thing. Output: A structured Problem Frame doc saved to the working folder.
82
76%
Does it follow best practices?
Impact
87%
1.97xAverage score across 3 eval scenarios
Passed
No known issues
Fix and improve this skill with Tessl
tessl review fix ./plugins/headout-pm-os/skills/problem-framer/SKILL.mdSolution-framed PM input reframe
Solution reframe
100%
100%
Headout funnel language
30%
100%
Specific touchpoint named
62%
100%
Falsifiable hypothesis format
0%
90%
Specific success metric
40%
100%
Guardrail metrics present
100%
100%
Business consequence metric
50%
100%
At least 2 anti-goals
62%
100%
Strategy pillar named
0%
100%
Directional options format
0%
75%
Correct output filename
100%
100%
Recommended next steps order
0%
100%
Data-driven drop-off analysis with historical context
Context loading step
75%
37%
Clarifying questions asked
0%
0%
Evidence quality probe
0%
0%
Competing explanations probe
0%
0%
Root cause chain depth
90%
90%
Headout S2O metric used
100%
100%
Structured critique produced
100%
100%
Gap-Impact-Recommendation format
100%
100%
Prior attempts flagged
100%
100%
Strategy pillar named
0%
100%
Correct output filename
50%
83%
Falsifiable hypothesis format
0%
90%
Vague gut-feeling input with full structure test
Questions count 2-4
0%
100%
Evidence quality probed
100%
100%
User specificity probed
25%
100%
Constraints probed
0%
100%
Headout funnel language in User section
100%
100%
Non-POI pillar named
0%
100%
Root cause not stopped at symptom
100%
100%
Headout metric in consequence
25%
100%
Falsifiable hypothesis format
0%
87%
At least 2 anti-goals
50%
100%
All required sections present
37%
100%
Correct output filename
25%
100%
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Table of Contents
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