Signals uses our contextual mapping algorithm to establish and examine the broader context of meaning that consumers associate with a given topic of focus (for your dashboard). Once a larger contextual boundary is established for your search topic, the Signals algorithm then identifies and surfaces signals by examining all the meanings within that contextual boundary and honing in on those meetings that have either been dominant for a while and are experiencing significant negative change or have recently entered into the contextual universe and are experiencing significant growth.
Simply put, Signals looks at the constellation of topics that consumers associate with your search topic and surfaces those topics in the constellation that are experiencing change. Much like examining a broader weather system and identifying specific points of change.
Input
To get going, all you need to do is tell us about the focus of your dashboard. Our machine will do the rest and ensure that the search itself is created through a consumer-led lens.
E.g., If you're interested in studying sustainability in the context of food, that is all we need to know to get Signals to establish the search criteria and get the data populated in the dashboard.
Output
The outcome is in the form of a dashboard that surfaces the major signals and allows us to analyze them, and track them over time.
Lastly, MotivBase Signals is highly complementary to MotivBase Trends.
New opportunities and threats identified through Signals can be easily examined in Trends to decode hidden meanings, quantify maturity and market potential and more. Clients that leverage both platforms together benefit from a completely consumer-led approach to agile research. The consumer is relied upon to identify signals of change, and then again relied upon to tell us what those signals mean to them in their lives and why.