BUFFL provides an mobile survey tool to validate problems, ideas, concepts and prototypes. It makes their community of consumers available to their client, to which they can send surveys through the Buffl app. The client can do the setup and analysis through the campaign builder and client dashboard.
Obtain feedback from potential customers and analyze it.
+/- 2800€ to survey 500 people (providing it’s a general audience). Includes limited support to set up the survey.
What is it?
For their users (surveyed audience, which they call their ‘herd’): a mobile app that asks them to fill in surveys (or send a picture/video) in exchange for Buffl-coins, with which they can get small rewards (movie tickets etc)
For their clients: a self-service campaign builder to send out quick surveys to the audience.
What are the requirements?
You need to design your experiment before setting it up: in our experience, Buffl works best when you have 1) a clearly defined problem or solution assumption 2) experience in experiment design to make sure you select the right experiment type (survey/video collection/other), and 3) take out any potential biases out of your survey before launching it. 4) defined metrics clearly. Learning the campaign builder tool is quite easy.
What is it going to do for me?
Get instant solution validation during a hackathon, design sprint etc through an instant survey.
Depending on the scope of your experiment, you can get input from 200 people within the hour.
Buffl claims to save up to 40% of time spent on user research.
What are the limitations?
Very local: Their ‘herd’ is located in Belgium only so far, mostly in Flanders.
Mostly suited for B2C.
Ideal for solution validation – but as most survey tools not ideal for problem validation.
As they build their own audience (their ‘herd’), it’s currently mostly focused on Belgium.
Bias in the tool: their audience (the users of their app) earns ‘Buffl-coins’ but mostly gets value out of seeing themselves as early adopter (as Buffl’s clients ask them about their opinion on potential new products/services). Besides the early adopter bias, the user audience also consists mostly of the younger, mobile-native demographic.
The client interface, where you see the results of your survey does the trick if you’re looking for clear-cut answers. If you need to do more advanced analytics, find correlations and process data in different ways, you might find it limited.