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Holistic Data Insights Triangle - Achieving Highly Valid and Robust Data Insights.
Back in January, I blogged about the idea of a ‘Proof For Change’ triangle I had and a sketched out notion of how the triangle would work for data insights.
Over the last few months, I’ve been putting some data measurement frameworks in place for various projects. All with the goal of capturing holistic data insights on the project’s success - whether that project was a TV advertising campaign or a social media effort.
In each case, I’ve used my data insights triangle idea to make sure I’m capturing data from different sources and employing a holistic measurement review of the project.
Back in January, that idea was just a sketch in a notebook. Here is the triangle in a more formal view.
The idea is that holistic insights come from measuring projects through three different sources: market research, analytics and unprompted feedback.
If a piece of data insight (e.g. customers have trouble with the interface on product feature X) is supported by these three different measurement methodologies, then there is a strong case for putting that piece of insight into action.
In that way, you’re getting a variety of different to give your insights a high level of rigor and validity.