ElevateEm is developing a new framework for understanding career decisions and the relationship between people and work.
The Case Lab is where we test the assumptions.
Case Lab participation is voluntary and developmental. We are not a clinical service and do not use assessments for employment selection.
Research Questions
Why do capable people remain in work they dislike?
Why do people repeatedly change jobs without resolving dissatisfaction?
What conditions matter enough to actually cause someone to leave?
How do financial constraints change the shape of a career decision?
Which skills transfer across seemingly unrelated careers — and which do not?
How accurately do people's stated preferences explain their actual decisions?
What happens when autonomy, security, creativity, compensation, purpose, or location come into direct conflict?
What actually happens after someone makes the change — and does it resolve what they thought it would?
Evidence Standards
Every conclusion ElevateEm draws needs to be traceable to its source. We use four evidence categories — not interchangeably. Each category has a different weight and a different implication for how confidently we can state what we know.
Documented facts about a person's career: roles held, transitions made, timeline, credentials, measurable outcomes. This is the most reliable category — it describes what actually occurred, not what someone remembers about why.
Example: "This person held three roles in five years across two industries before returning to their original sector."
The individual's own account of their experience, motivations, and decisions. Valuable but not infallible — memory is reconstructive, and people often develop post-hoc narratives that rationalize rather than explain. We take self-report seriously and hold it lightly.
Example: "The participant reports leaving for better work-life balance, though the timing coincides with a leadership change."
An interpretation ElevateEm generates based on analysis — not something the participant said, not something directly observed. Inferences are labeled as such. They are working hypotheses, not conclusions. They can be wrong and are subject to revision.
Example: "The pattern of role changes suggests a high autonomy driver that has not been explicitly named by the participant."
Conclusions anchored in labor-market data, occupational research, organizational psychology literature, or economic data. Used to contextualize individual cases within broader patterns and to test whether our inferences hold beyond a single case.
Example: "Stated salary expectations are below median for this role and region at this experience level, which may be constraining the option set considered."
Data Sources
ElevateEm is not a scraping operation. Every data source we use either comes directly from participants or from publicly available research and labor-market information. We do not infer career histories from social platforms or aggregate information people have not chosen to share with us.
The methodology is built to be rigorous within those constraints — not to maximize data collection, but to collect data that is actually interpretable and relevant to the questions we are asking.
Voluntary participant assessments
Structured intake data collected directly from individuals who choose to participate in the Case Lab or founding cohort process.
Longitudinal follow-up
Voluntary check-in data from participants at agreed-upon intervals — to understand what happened after a decision, not just what was intended.
Public career histories
Voluntarily shared career timelines and resumes provided by participants as part of the assessment process.
Labor-market information
Government and third-party labor-market data used to contextualize individual cases — wage data, employment trends, occupational projections.
Occupational data
Structured occupational databases (O*NET and similar) used to map skill requirements, task structures, and role characteristics across career paths.
Organizational psychology research
Peer-reviewed literature on motivation, work design, person-environment fit, job satisfaction, and career development used to ground the framework in established science.
Economic data
Macroeconomic and sector-level data used to understand the external conditions shaping the decision environments participants are navigating.
Founding Cases
Case Lab participants work through the ElevateEm Career Architecture process with our team. The engagement is structured and serious — not a free coaching session, and not a personality quiz.
In exchange for participating, you receive a rigorous analysis of your career decision using the full ElevateEm methodology. You may also be invited — at your discretion — to provide follow-up information over time so we can understand what actually happened and improve the framework accordingly.
We review every application carefully. Participation is limited by our current capacity and research priorities.
Tell us where you are. We respond to every submission within five business days.
We review every submission carefully. You'll hear from us within five business days.
Methodology Commitments
Transparency about the limits of a methodology is not a disclaimer. It is part of the methodology. These are not edge cases — they are standing commitments that shape how every case is handled.
Promise employment or guarantee a career outcome as a result of participation
Make unsupported clinical diagnoses or psychological assessments outside our scope
Draw causal conclusions from individual anecdotes or small sample sizes
Use developmental assessments for employment selection purposes
Present inferred motivations as known psychological fact
Claim the framework is validated before sufficient evidence exists to support that claim
The goal is not to prove the framework right. It is to discover where it is wrong.
If you're an individual navigating a career decision, the Lab's findings inform the Career Architecture Assessment →