{"id":472,"date":"2023-04-07T12:23:08","date_gmt":"2023-04-07T12:23:08","guid":{"rendered":"https:\/\/www.qualsights.com\/post\/?p=472"},"modified":"2023-12-05T13:27:46","modified_gmt":"2023-12-05T13:27:46","slug":"5-best-practices-for-consumption-based-research-communities","status":"publish","type":"post","link":"https:\/\/www.qualsights.com\/post\/5-best-practices-for-consumption-based-research-communities","title":{"rendered":"5 Best Practices for Consumption-Based Research Communities"},"content":{"rendered":"\n

There\u2019s an unspoken problem with the traditional participation-based market research approaches that companies use to understand consumer behavior: they rely heavily on self-selected participants. Simply put, companies need their research participants to be responsive, communicative, clear, and <\/span>motivated to maintain participation<\/span><\/a>. Otherwise, they won\u2019t hear from them and won\u2019t gather useful data.<\/span> <\/span><\/p>\n\n\n\n

The problem is that EVERYONE uses any number of products in their daily lives, not just the responsive and motivated segment of the population that traditional research approaches rely on. <\/span> <\/span><\/p>\n\n\n\n

So, how can brands gain insights into how all consumers use their products? How can companies gather data from research participants who aren\u2019t motivated, organized, and communicative?<\/span> <\/span><\/p>\n\n\n\n

The answer lies in using technology to shed light on the \u201cblack box\u201d of usage testing. Right now, brands can leverage \u201calways-on\u201d<\/span> smart coasters sensors to track how often, what time of day, and how much of a product a research participant uses. This level of data precision and depth can identify<\/span> new consumption patterns, usage behaviors, and routines.<\/span> By understanding <\/span>real <\/span><\/b>behavior, not just<\/span> stated<\/span><\/b> behavior, you can: <\/span><\/p>\n\n\n\n