Test how a target audience perceives your offering — clarity, resonance, and price sensitivity.
In your own words, what do you understand our offering to be?
No right or wrong answer — we want to hear how our message landed, not how we pitched it.
What problem does it solve for you, if any?
If it does not solve a problem for you specifically, tell us that too.
How does this compare to how you currently handle that problem?
Think about your current tools, processes, or workarounds.
What would you see as the main benefit of using this?
If you had to explain the benefit to a colleague in one sentence, what would you say?
What would make you hesitate or walk away?
Think about risk, complexity, trust, timing, or competing priorities.
How does the price feel relative to the value you would expect to receive?
Based on the price we shared with you — or, if no price was given, your estimate of what something like this would cost — how does it feel relative to the value you'd expect?
What would need to be true for you to become a customer?
Name the conditions — a feature, a proof point, a price point, or a change in your own situation.
After each completed session, Mayetik generates a structured AI summary. Here's an example of the output format — the actual content reflects each respondent's answers.
The respondent's answers highlighted three recurring themes — each supported by specific examples drawn from their experience. The summary captures what was said, not what was expected.
Two responses stood out as unusually detailed and pointed to an area worth following up on. The full text of each answer is preserved below the summary.
Based on the patterns in this session, the AI identified three concrete actions for the project team to consider. These are drawn directly from the respondent's own suggestions.
Generated from 7 questions · ~15 min session