Skip to main content

One post tagged with "ramping"

View All Tags

· 4 min read
Rob Kingston

Whilst improving Mojito's PRNG & devising an ITP2.X workaround last year we introduced a modular splitting tool in Mojito that lets users split traffic with hash functions. We're amazed by the features that hash functions enable in split testing such as:

  • Deterministic results: Users will always be bucketed the same way for a given input - regardless of when or where you're making the decision from (e.g. client-side/server-side/web/app)
  • Sufficiently random: Random numbers are uniformly distributed despite near-identical inputs

But hiding in plain sight was a novel ramping process that Lukas Vermeer,'s Director of Experimentation, pointed out to us. We'd not encountered it before. But now that we were using hash functions, it was possible...