Read the room
Analytics
Liking, intent and JAR diagnostics in one view — slice it, read it, export it.
Total responses
1,901
10 studies
Completion rate
90%
Finished the full form
Avg liking score
6.5/9
9-point hedonic scale
Purchase intent
66%
Definitely / probably would buy
JAR diagnostic distribution
Sweetness attribute, all products
52% just-about-right on sweetness — above the category norm of 46%.
Box scores
Overall liking
Net favourability
+33
Study performance
Responses vs target
Open-ended verbatims
Unedited consumer language
“The cold brew tastes smooth, not bitter like the instant coffee I usually buy.”
Mumbai · Coffee
“Sachet is convenient for office but the price feels a bit premium for daily use.”
Bengaluru · Coffee
“Matcha smell was too grassy for my family, my kids refused a second sip.”
Pune · Tea
“Masala chai premix is close to how my mother makes it — strong and gingery.”
Ahmedabad · Tea
“Millet chips are crunchy and I like that it says baked, not fried.”
Hyderabad · Snacks
“Makhana pack looked healthy but I could not tell the flavour from the front.”
Kolkata · Snacks