At Thrive, we want to help you understand yourself and the world through a principled, scientific lens. One way we make this happen is to optimize Thrive and its features for the way our minds work. 

Below is a brief overview of three areas where we took principles from cognitive science and baked them into the way we work: Ecological Momentary Assessment (EMA), micro-learning, and interleaved learning. 

First, the platform is built to allow for Ecological Momentary Assessment and related in-situ data collection methods (Bolger, Davis, Rafaeli, 2003; Shiffman, Stone, Hufford, 2008; Stone & Shiffman, 1994). These methods are the gold standard for “real world” data collection due to flexibility in scheduling, limited recall bias via in-the-moment responding, and a natural link to the incremental learning processing in the brain. 

Ecological refers to the dissemination of information and the collection of data in a user’s or participant’s everyday environment. 

  • This reduces the amount of recall bias relative to traditional surveys and questionnaires, and ties the experience to actions that actually matter. 
  • It is easy to send Thrive experiences out on a pseudo-random schedule. This reduces response bias even more, and plays to the brain’s affinity for novelty and surprise. 

Momentary refers to the brief, unobtrusive nature of the experiences. 

  • This makes Thrive programs less onerous and more engaging than longer training sessions, and fits with the nature of human memory, which accumulates knowledge incrementally.
  • Multiple smaller experiences lead to a greater number and variety of retrieval cues, so users have the information they need at the top of their mind faster and in the right contexts.

Assessment refers to the high-quality nature of the data captured. 

  • Superior to offline data collection methods in terms of response bias.
  • Data is carefully structured and easy to interpret.
  • Items can be coded and categorized within Thrive before output for ease of analysis as well as post-collection.

Next, experiences are most naturally created such that the user benefit from Micro-learning – the learning of new concepts and other information in a more distributed, piece-meal manner than traditional courses and training (online or off-line)

  • The flipside to EMA data-collection, Thrive makes it easy to distribute multiple, smaller experiences. This leads to better retention of information and a robustness to changes in context. 
  • The human memory system is incremental: learning occurs over multiple instances of exposure, slowly building into robust, rich memories (Hintzman, 1984; Logan, 1988, Nosofsky & Palmeri, 1997) . Thrive’s delivery system mimics these features of memory to supercharge effectiveness. 

Finally, the flexible nature of Thrive delivery allows for Interleaved learning to occur. Interleaved learning refers to learning in which information from multiple topic areas is woven together, compared to blocked learning of a single subject

  • Over several decades, research has shown that students who learned new information via interleaved topic learned more effectively and retained more information than students who learned vis blocked topics (Goode & Magill, 1986; Kornell & Bjork, 2008); these effects increase as time passes (Rohrer, Dedrick, & Sterchic, 2015)
  • These findings make sense considering the memory system has been developed and tuned in a world in which disparate information sources are the norm. Thrive programs can feature interleaved content within single programs, or can be distributed in multiple, parallel programs.

If you are interested in amplifying the impact and retention of your message or coaching read more about the Platform and request a demo here.

To find out more about how Thrive conversations, models, and measures can benefit your team, reach out to

We’re committed to helping you have better days!

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