RCTs have typically been used to evaluate medical interventions, and frequently employed by us (behavioural scientists) to determine the success of behavioural nudges. In their simplest form, an RCT involves evaluating interventions by comparing them to a control. The randomisation component ensures bias is minimised, making RCTs one of the most rigorous experimental designs on offer.

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What it’s great for

[br][list_styles][list_style icon=”fa fa-caret-right”]Live trials, at scale, where it’s possible to have two or more conditions (e.g. old comms vs. new comms, old product vs, new product) [/list_style][/list_styles]
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What you get

[br][list_styles][list_style icon=”fa fa-caret-right”]Robust, at-scale data with p values and clear changes in behaviour[/list_style][list_style icon=”fa fa-caret-right”]Irrefutable C-Suite ready reports[/list_style][list_style icon=”fa fa-caret-right”]Permanent change in behaviour of customers/users[/list_style][/list_styles]
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Typical project profile

[br][list_styles] [list_style icon=”fa fa-caret-right”]2 weeks: Literature review and experiment plan [/list_style][list_style icon=”fa fa-caret-right”]2+ weeks: altering and preparing test conditions (coms, etc.)[/list_style][list_style icon=”fa fa-caret-right”] 1+ hour: live trial (depends on scale of customer/user) [/list_style][list_style icon=”fa fa-caret-right”] 1+ weeks: Evaluation [/list_style][/list_styles]

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Who we’ve done it for

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