Case study / 04 / Personalisation · ML operations
News Personalization Product Operations
Translating behavioural signals and newsroom goals into an operational personalisation workflow.
The result
Outcome
Helped operationalise news personalisation through collaboration across ML, engineering, design, and editorial teams.
01 / Context
The challenge
Personalisation only creates value when behavioural signals, editorial judgement, and product delivery work together in a dependable workflow.
02 / Execution
What I worked on
- 01
Collaborated with ML, engineering, design, and editorial stakeholders.
- 02
Translated editorial and business goals into clear product requirements.
- 03
Used behavioural signals as the basis for discussions about relevant content discovery.
03 / Reflection
What this reinforced
The product manager's role in personalisation is as much operational as technical: align inputs, decisions, and ownership across teams.
Next case study
ET Markets Integration in the TOI App