quebot
making an onboarding journey to improve user activation for a math practice tool.
quick demo
how we started?
We experienced this problem firsthand during our time at Quizizz. We built a solution to address it as part of a hackathon, we won the competition and was adopted by 50+ product and design team members across the company.
why we chose this problem?
understanding your users is super important to build a good product
teams don't have a single source of truth.
product decisions are made without enough evidence.
manual sorting is time-consuming and valuable feedback gets lost.
stakeholders can't stay aligned.
how quebot works?
01
integrates with all your tools where user feedback and data are being collected
02
shows you insights categorized by product areas based on what has gone wrong there
03
automatically categorizes all your user feedback into bugs, feature requests, competitor mentions
04
answers all questions on your users and adds citations to the feedback excepts to add more credibility
what we learnt?
if the data is small, then the problem doesn't exists.
small companies have no systems set to collect user feedback.
the problem becomes severe when the data size is large.
made with love :)
