The research
The Frustration Condition framework is grounded in doctoral fieldwork. This page is the credibility summary: who did the research, how many people were in the quantitative study, and what the headline finding is. The full methodology — instruments, statistics, what the data does and does not establish — lives in Appendix A of the book.
Dr. Tim Hough · ISBN 979-8-9965397-1-0 · Buy the book →
The doctoral research
The foundational research began with a 2023 doctoral dissertation using a phenomenological design. It studied what happens to capable leaders inside organizations where systems and processes slowly break down — what they do, how it changes them, and what their behavior teaches the organization in turn.
Hough, T. (2023). A Phenomenological Study Examining How Managers Experience Entropy in Business Systems and Processes and How These Experiences Influence the Actions of the Managers. Doctoral dissertation, The Chicago School of Professional Psychology.
The headline finding
The instruments
Effect size: frustration explained roughly 16-19% of the variance in engagement scores (p < .001).
What a cross-sectional design does and does not establish
The quantitative study uses a cross-sectional design. It establishes that frustration and engagement are statistically and practically associated at a single point in time. It does not, on its own, establish that one causes the other; the longitudinal direction is grounded in the doctoral phenomenological fieldwork that preceded it.
The framework treats the cross-sectional finding as the credibility floor — frustration and engagement do not move independently — and the phenomenological dissertation as the evidence that the relationship runs in the structural direction the book describes.
Why we don't collect demographics
The app stores almost nothing about a participant. When someone joins a workspace they are recorded as a display name they choose, the team they joined, and a few timestamps. There is no tenure field, no department field, no role level, no gender, no age, no ethnicity, no location, no manager. The same is true of every frustration they submit — it carries the text, a team link, and a timestamp.
That is a design choice, not an oversight. The book's argument is that the cause of disengagement is structural, not demographic. Slicing frustrations by “engineering vs sales” or “under-two-years vs over-ten” tends to teach a facilitator that the problem is one of those groups, and to lead them away from the architecture that is actually generating the pattern. We would rather the dashboard make the structural read obvious and refuse to make the demographic one available.
When a facilitator does need contextual intake — a CEO's own words before an operating review, a non-family executive's named reversals, an operating partner's intervention log — the book ships printable templates for exactly that. They live on paper, outside the app, under the facilitator's control.
The point is that it can be reduced — and when it is reduced, engagement rises as a predictable outcome of work making sense again.
Source: Why Your Best People Stop Trying, Appendix A. Dr. Tim Hough.
We use only strictly necessary cookies — to keep you signed in, to bind anonymous team participants to their team, and to remember this notice. We set no analytics, advertising, or tracking cookies. See the full list.