Stay-vs-go decision
Definition
A stay-vs-go decision is a structured choice about whether to remain in or leave a voluntary high-stakes commitment — a job, relationship, program, project, or partnership. The decision-science literature on these choices is substantial, anchored in turnover research and decision theory, and identifies specific factors that distinguish good outcomes from poor ones.
Why it matters
Stay-vs-go decisions matter because they are among the highest-stakes choices most people make in adult life: whether to leave a job, end a relationship, exit a program, close a business, walk away from a project. The decisions are difficult precisely because they involve large irreversibilities, identity entanglement, and emotional load that swamps analytical reasoning. They also resist generic advice; what looks like the right decision from outside often looks different from inside, where the person knows what the situation actually feels like.
Origin and lineage
The empirical research on voluntary departure decisions traces to early industrial-organizational psychology research on employee turnover, particularly Mobley (1977) and Mobley, Griffeth, Hand & Meglino (1979), which framed quitting as the end-state of a sequential dissatisfaction process. Lee and Mitchell's (1994) unfolding model reframed the field by identifying that many people leave not because of gradual dissatisfaction but because of shocks: discrete events that prompt sudden re-evaluation. Mitchell, Holtom, Lee, Sablynski, & Erez (2001) added embeddedness theory: people stay or leave based on links, fit, and sacrifices, independently of satisfaction.
Research evidence
Steel and Ovalle's (1984) meta-analysis quantified the strongest empirical anchor in stay-vs-go research: the meta-analytic correlation between intent to leave and actual turnover is approximately r = 0.50, robust across decades and contexts. Lee et al. (1999) replicated the unfolding model with nurses; Morrell, Loan-Clarke & Wilkinson (2008) replicated it in the UK National Health Service; Donnelly & Quirin (2006) extended it to accountants. The model's predictions have generally held, though border cases consistently challenge clean classification.
Common misconceptions
Stay-vs-go decisions are not necessarily about happiness. Embeddedness research shows that people often stay in situations they are unhappy with because their links, fit, and sacrifices weigh against leaving. Conversely, people sometimes leave situations they are happy with because of a shock or an unsolicited opportunity. The decision logic also is not symmetric: the cost of staying in a wrong situation differs from the cost of leaving a right one. The framework's purpose is to make this asymmetry visible, not to produce a single composite recommendation.
How LifeByLogic measures it
The Should I Quit framework is LifeByLogic's stay-vs-go decision support tool. It synthesizes the unfolding model, embeddedness theory, and turnover meta-analyses into a structured reflection across the dimensions the empirical literature shows most distinguish good outcomes from bad ones. See the methodology page.