The Founding Principles of Stori
Stori did not begin as a product. It began as a set of observations about hiring, human performance, and the limitations of existing assessment methods.
These principles form the intellectual foundation of Stori.
Hiring Relies on Weak Signals
Resumes, interviews, references, and assessments are all proxies. The problem is not that they are imperfect. The problem is that organizations often place more confidence in them than the evidence supports.
The greatest risk in hiring is not uncertainty. It is false certainty.
AI Has Accelerated Signal Degradation
AI did not create the weaknesses in hiring. It exposed them. Resumes are increasingly optimized, standardized, and difficult to differentiate. Candidates can now generate polished applications at scale.
The challenge is no longer finding candidates. The challenge is understanding them.
Experience Explains Exposure, Not Performance
Experience tells us where someone has been. It does not reliably tell us how they think, learn, adapt, communicate, or perform. Two people with identical experience can perform very differently.
Experience remains useful — but it is an incomplete explanation of human potential.
Human Performance Is Simpler Than Most Hiring Frameworks Suggest
Organizations expand competency frameworks as though performance becomes more predictable the more categories we create. The evidence suggests otherwise. Human performance appears to cluster around a relatively small number of meaningful patterns.
Complexity often creates the illusion of precision.
Competencies Should Be Discovered, Not Requested
Most behavioral interviews begin by asking candidates to provide evidence of a predefined competency. This assumes people can retrieve competency-tagged examples on demand. People do not store their lives this way.
The strongest evidence emerges naturally from stories — not from being requested directly.
Human Memory Is Story-Based
People remember stories. They remember people, decisions, failures, successes, relationships, and turning points. They do not remember their lives as categorized examples of stakeholder management, adaptability, or conflict resolution.
Assessment should align with how memory actually works.
Performance Is Defined By Patterns
Individual stories are anecdotes. Repeated behavior across different contexts becomes evidence.
The objective of assessment is not to collect examples. It is to identify patterns.
Truth Lives In Context
Human behavior cannot be understood in isolation. Every decision exists within a broader context of people, constraints, incentives, environments, and relationships. Removing context may make behavior easier to categorize.
It also makes it harder to understand.
Candidate Intelligence Is The Missing Layer
Resumes capture history. Interviews capture moments. Assessments capture abstractions.
Candidate Intelligence combines narrative evidence, structured assessment, and behavioral patterns into a unified layer that can be searched, benchmarked, and validated over time.
Candidates Should Own Their Data
Traditional hiring extracts value from candidates. Interviews are repeated. Assessments are discarded. Effort is duplicated.
Candidates should own the intelligence they create — and benefit from the value it generates throughout their careers.