~/talk

Where NLP and psychology meet

Talkat PyData Berlin 2018 · 2018-07-06..07-08· [machine-learning, data-science]
slides:none on file

Claims that organizational culture can be measured continuously from collaboration text using NLP rather than surveys, and demonstrates a scoring engine built on Slack data that runs on Elasticsearch and fuzzy matching. Validation against expert ratings shows correlation rising from ~0.2 to 0.3. Dataset exceeds 1M+ passages and integrations include Slack + JIRA + GitHub + HubSpot + Google Calendar, with observed links between culture shifts and bug counts, meeting patterns, and team-role lexical signatures.

AI-written summary · about

  1. 0:00Psychology and data intro
  2. 1:56Culture and startup success
  3. 3:44Six dimensions of culture
  4. 5:15Culture via collaboration tools
  5. 7:08Cultural lexicon from Slack
  6. 9:39Culture scoring validation
  7. 11:30Dashboard for cultural dynamics
  8. 14:23Beyond six dimensions
  9. 15:06Culture and team performance
  10. 16:54Cultural profiles of startups across cities
  11. 19:30Q&A: Scalability & team culture
  12. 20:56Q&A: Leader manipulation
  13. 22:46Q&A: Dictionary & user behavior
  14. 23:52Q&A: Correlation vs causality
  15. 25:52Q&A: Face-to-face tracking
  16. 27:26Q&A: Data privacy in Germany
  17. 29:27Q&A: Adaptability & customer focus
  18. 30:11Q&A: GDPR & consent
  19. 32:02Q&A: Ethical use of data
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