Experiments
Dialed
Converts experience into role-specific signal and narrative positioning.
Why this experiment matters
Preparation isn’t the problem. Positioning is.
Most candidates know their experience but struggle to translate it into what a company is actually hiring for.
This system converts experience into the exact signal needed to get hired.
Experiment
Context
Interview prep usually solves the wrong problem.
Candidates face vague job descriptions, misalignment between experience and role expectations, and inconsistent storytelling across interviews.
Most preparation focuses on practicing answers and memorizing frameworks, not on aligning to what the company actually wants.
What I will build
The real system is signal mapping.
Build a role deconstruction engine to extract what the company is truly hiring for.
Build an experience-to-signal mapping system.
Build structured story generation for short answers, deep dives, and tradeoff narratives.
Build gap detection for missing signals and weak positioning.
Expected outcome(s)
Expected outcomes.
Clear alignment between candidate and role expectations.
Stronger, more consistent interview performance.
Reduced preparation time with higher effectiveness.
Why it will matter
This turns interview prep into engineered positioning.
It applies the same signal extraction logic used in Blindspot, Dialed, and SignalForge.
It shows the same reusable system in a different domain.
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