Most analytics on a TV interface end up in the same place: a dashboard someone checks once a quarter. This is useful for a retrospective, useless in the moment when a rail is actively showing the wrong things to the wrong person.

Actionable Rails Analytics, is built on a simpler premise — measurement should feed straight back to the person and systems managing the rail it’s measuring, not into a report about the rail. Engagement signals on individual tiles get tracked live, and that signal directly is available to the editor curating the rails.

OpenTV: Personalized Reviews

2026-09-07 Tech Ben Gidley

Plenty of people have a negative reaction to recommendations. The suggestions might be perfectly good, but they don’t much like the idea that a machine knows them. We hear that in customer feedback, and we can see it in the data — a rail explicitly labelled as recommendations gets less engagement than exactly the same weighting applied quietly inside an ordinary list or a set of search results.

So instead of hiding the AI harder, we went the other way. Personalized Reviews (patent pending) puts the model that does the recommending into the audience’s hands, in a form that reads as human rather than statistical.

Gidley's Gossipings

OpenTV: Actionable Rails Analytics

OpenTV: Personalized Reviews