Winner or Loser? Analysing your test results with Causal Impact on R Studio
Winner or Loser? Analysing your test results with Causal Impact on R Studio’: This session is centred around the use of Causal Impact Analysis, a powerful tool to analyse test results and infer the impact of a change VS control groups. It can be used on any areas where changes in strategy need to be justified by test results first, and it’s an invaluable tool to clearly show stakeholders the impact of your team’s work.