Real ChatGPT answer · index seedx01y0DqyaGYcompleteCareers and HR · employee managementinformational
What are the best leading indicators to spot flight risk among remote engineers before they resign from our tech startup?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best leading indicators to spot flight risk among remote engineers before they resign from our tech startup?
2 real searches · 1 real-search pass
research evidence leading indicators employee voluntary turnover intention to quit job embeddedness engagement manager relationship career development remote workers engineersGoogle ↗
OBSERVEDReason
remote work employee isolation belonging turnover intention research organizational support career growth engineersGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
research evidence leading indicators employee voluntary turnover intention to quit job embeddedness engagement manager relationship career development remote workers engineers Google ↗
remote work employee isolation belonging turnover intention research organizational support career growth engineers Google ↗
- When and how is job embeddedness predictive of turnover? a meta-analytic investigation · pubmed.ncbi.nlm.nih.gov
- Why People Stay: Using Job Embeddedness to Predict Voluntary Turnover · doi.org
- They want to quit! Why IT professionals leave: A systematic literature review on turnover intention · sciencedirect.com
- =-1 Staying or Leaving? How Job Satisfaction, Embeddedness and Antecedents Predict Turnover Intentions of Software Professionals · assets.empirical-software.engineering
- Association of Employee Engagement Factors and Turnover Intention Among the 2015 U.S. Federal Government Workforce · pubmed.ncbi.nlm.nih.gov
- Hybrid work or working fully from home in the high-tech sector does it work? The effect of working from home, job embeddedness, supervisor listening and motivation on engineers turnover behaviour in the high-tech sector. What can be learn for the post-COVID-19 era? | International Journal of Organizational Analysis · doi.org
- A dual pathway model of remote work intensity: A meta‐analysis of its simultaneous positive and negative effects - Gajendran - 2024 - Personnel Psychology · onlinelibrary.wiley.com
- The impact of professional isolation on teleworker job performance and turnover intentions: does time spent teleworking, interacting face-to-face, or having access to communication-enhancing technology matter? · pubmed.ncbi.nlm.nih.gov
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
research evidence leading indicators employee voluntary turnover intention to quit job embeddedness engagement manager relationship career development remote workers engineers OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
remote work employee isolation belonging turnover intention research organizational support career growth engineers OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |