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FEATURE SCORECARD
Satisfaction
Engagement
Adoption
Retention
Personalised pages, applied MLR&D
THE SHAPE
OutcomesSCORED ON FOUR MEASURES
HOW IT WAS DONE
  • Moved the feature scorecard to satisfaction, engagement, adoption and retention.
  • Ran an applied ML programme on personalised landing pages with ML engineers and data scientists. R&D, not a shipped product.
  • Partnered with Google and HubSpot on product and channel.
HOW IT IS READ

Background, not scored. Only work with a definition of landed agreed up front gets a status here. Figures and references for earlier roles are in the CV and on LinkedIn.

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