3 hypotheses tested before launch
How a demand map built from 300,000 messages showed which feature to build first.
- Niche:
- IT and SaaS
- Period:
- 2 weeks
About the client
A startup building an inventory tool for small coffee shops.
Task
The team argued about which feature to start with. Surveys produced polite but useless answers.
Solution
The AI analyst collected 300,000 messages from coffee shop owners' chats and tagged what they complain about and look for.
Result
Two of the three hypotheses were not confirmed. The team started with the feature people asked about most.
What changed in the work
Data-driven decisions
Priorities are based on real audience conversations.
Speed
The research took two weeks instead of a quarter.
The customer's language
Phrases from the chats went into the landing page and ads.
Control
All reports and samples are available in the app.
Logger licence
From $249 a month — all agents, modules and training
Set it up yourselves with the video course and manual, or hand it to a targeting specialist-integrator. Either way, you need a person who works with the system every day.
Request
Have a similar task?
Leave your details — a manager will contact you in Telegram within one business day and:
- Show how Logger works in your niche
- Will help choose a plan and how to launch: yourselves or with a targeting specialist
- Answer questions about launch and security