Business Agents
Describe who you're asking and what you need to learn — get a well-worded survey with logic, collection and a results dashboard.
Bad surveys start with leading questions and end with unusable data. The agent drafts neutral, audience-appropriate questions from your research goal, adds skip logic so respondents only see what's relevant, and collects responses into a dashboard you can actually read. You review every question before a single person is asked.
Try an example
Most surveys fail before they're sent. Questions lead the witness, scales shift meaning halfway through, and respondents abandon a form that asks things they already answered. The AI Survey Builder starts from your research goal — who you're asking and what decision the answers should inform — and drafts a survey designed to produce data you can act on.
It's for the people who run surveys without a research team: founders validating demand, product managers gathering feedback, HR leads running engagement pulses, marketers sizing a market, consultants delivering client research. Anyone who's stared at a blank survey tool wondering what to ask first.
Tell the agent the audience and the goal, and it drafts the full instrument: an introduction that sets expectations, questions worded neutrally for that specific audience, answer scales that stay consistent, and skip logic so follow-ups only appear when they're relevant. A churn survey asks different follow-ups of a price-driven leaver than a feature-driven one.
A form tool gives you empty fields and a question-type menu; the wording — the part that determines whether your data means anything — is on you. The agent drafts that wording, flags double-barreled questions, and keeps scales uniform. Then it goes further: the survey publishes as a real page, responses collect automatically, and results land in a dashboard.
You remain the editor-in-chief. The draft is designed to be neutral, but you know your audience's sensitivities and your industry's context. Review every question, adjust wording, test the survey on a few friendly respondents, and only then send it wide. The survey lives in a project you own, on your domain, with the response data under your control.
Start from the decision you need to make, not from a blank field. The agent works backward from the goal to the questions that inform it.
Leading and loaded questions produce data that tells you what you wanted to hear. The drafts are written to avoid steering respondents.
A survey for enterprise CFOs reads differently than one for first-time customers. The agent adjusts register and vocabulary to who you're asking.
Follow-up questions appear only when relevant, so nobody answers questions about a product they said they never used.
Agreement scales stay in the same direction and range across the survey — the kind of consistency that makes results analyzable.
Responses gather automatically into a results view. No exporting CSVs from one tool and charting them in another.
The survey publishes under your domain and the responses live in your project — not on a survey platform's terms.
Tell the agent who you're surveying and what decision the results should inform.
Introduction, neutrally worded questions, consistent scales and skip logic are generated for your audience.
Edit the wording, then test with a few friendly respondents to catch confusing questions before wide release.
Publish the survey to your domain, share the link, and read responses as they arrive in the dashboard.
The agent designs backward from what you need to learn, so every question earns its place instead of padding the survey.
Question phrasing, examples and answer options are tuned to the respondents — their vocabulary, context and likely knowledge.
Conditional paths send respondents only to relevant follow-ups, shortening the survey for everyone and cleaning up the data.
Likert scales, multiple choice, rankings and open-text questions with consistent direction and labeling across the whole survey.
Submissions are stored as they arrive — no third-party form plumbing, no lost responses.
See response counts, distributions and open-text answers in one view, so analysis starts the day the first response lands.
Introduction, questions, answer options and closing — worded for your audience and goal.
Conditional follow-ups that adapt the survey to each respondent's answers.
A shareable link on your domain where respondents complete the survey on any device.
Submissions stored in your project as they come in.
Distributions for closed questions and a readable view of open-text responses.
Example output
Input: 'Exit survey for cancelled subscriptions — find out why people leave.' Output: a seven-question survey that opens with the primary cancellation reason, branches to price-specific or product-specific follow-ups, ends with an open-text 'what would have kept you', and feeds a dashboard where the two churn segments can be read separately.
A founder surveys a target market on current behavior and willingness to pay, getting structured evidence before writing code.
A PM surveys active users after a launch, with branching that asks detailed follow-ups only of users who tried the feature.
An HR lead runs a quarterly engagement survey with neutral wording and consistent scales, tracking movement across quarters.
A marketer surveys prospects in an adjacent market to gauge demand and message fit before committing budget.
A customer experience team sends a post-purchase survey that branches on satisfaction score, routing unhappy customers to detailed follow-ups.
A consultant builds a market survey for a client engagement, with the dashboard serving as the deliverable's evidence base.
An organizer surveys attendees the day after, with logic that asks session-specific questions only of people who attended each track.
A team sends an exit survey to cancelling customers, separating price, product and lifecycle reasons into readable segments.
Product and CX teams run feedback, churn and onboarding surveys that feed roadmap decisions.
Brands collect post-purchase and brand-perception feedback from real customers.
Teams run engagement, pulse and exit surveys with wording careful enough to trust the answers.
Researchers and consultants draft instruments faster, then apply their expertise to review and analysis.
Practices gather patient satisfaction feedback with appropriate, careful question wording.
Organizers measure attendee and guest experience while the memory is fresh.
You provide
Employee engagement survey, 60-person remote startup, anonymous
The agent
The agent drafts neutral questions across workload, management, tools and growth, with consistent agreement scales and an anonymous-respondent notice.
You get
A quarterly pulse survey with a dashboard the leadership team reads by theme, repeated each quarter for trend lines.
You provide
Post-purchase survey for our coffee subscription, focus on why they chose us
The agent
The agent writes selection-reason questions with branching — gift buyers and self buyers get different follow-ups.
You get
A survey emailed five days after delivery, with results showing gift packaging and origin story as top drivers.
You provide
Market research survey: would busy parents pay for a meal-prep service?
The agent
The agent drafts behavior-first questions about current cooking habits before any willingness-to-pay items, avoiding hypothetical bias.
You get
An instrument the founder sends to three parent communities, producing demand evidence for the business plan.
You provide
Exit survey for cancelled gym memberships
The agent
The agent branches on stated reason — price, location, usage — with targeted follow-ups per path.
You get
A short exit survey whose dashboard shows usage decline preceding most cancellations, shifting the retention strategy.
You provide
Conference feedback survey, 3 tracks, only ask about sessions attended
The agent
The agent builds track-selection logic so each attendee rates only the sessions they chose.
You get
A post-event survey with clean per-session ratings and an NPS-style closing question for the overall event.
You provide
Patient satisfaction survey for our dental clinic, gentle tone
The agent
The agent uses plain, reassuring wording and keeps the survey under ten questions.
You get
A survey sent after appointments, with results reviewed monthly by the practice manager.
| Aspect | With the agent | Manual process |
|---|---|---|
| First draft | Complete survey written from your goal and audience | A blank form and a question-type menu |
| Question wording | Neutral drafts you review and refine | Wording quality depends entirely on your research experience |
| Branching logic | Skip logic designed as part of the draft | Configured by hand, question by question, in the tool's UI |
| Scale consistency | Uniform direction and labeling across the survey | Inconsistent scales are a common and costly manual error |
| Results handling | Responses collect into a built-in dashboard | Exports, spreadsheets and manual charting |
| Data ownership | Responses live in your project, on your domain | Data sits on the survey platform, subject to its terms and tiers |
| Time to launch | Review, pilot and publish in a day | Days of drafting, configuring and wiring results |
Chat output is text you then rebuild in a survey tool. The agent delivers the working survey: logic, collection and dashboard included.
A chatbot can describe branching; the agent builds it, so respondents experience the paths instead of reading about them.
Submissions collect into a results view automatically — no manual wiring between a form and a spreadsheet.
Reword one question and the logic holds. Chat revisions risk inconsistent scales and broken branching across the set.
Tell the agent what you'll do with the answers. A survey that informs a specific decision stays short and focused.
'What did you do last time?' is more reliable than 'what would you do?'. Keep behavioral questions ahead of hypothetical ones.
Confusing questions are invisible to the person who wrote them. A small pilot surfaces them before they poison your data.
Every additional question costs completions. Cut anything whose answer wouldn't change a decision.
'Was the staff friendly and efficient?' is two questions. Split any question hiding an 'and' in it.
If 5 means 'strongly agree' in question three, it must mean the same in question nine. Consistency is what makes the data analyzable.
A final 'anything else?' catches what your question set missed — often the most useful responses in the whole survey.
When results drive a change, tell the people you surveyed. Response rates on your next survey depend on it.
It's an agent that drafts a complete survey from your research goal and audience — neutral questions, consistent scales, skip logic — then publishes it as a working page with response collection and a results dashboard.
A form builder gives you fields and logic tools, but the wording and structure — the parts that determine data quality — are your job. The agent drafts those from your goal, then includes collection and a dashboard, so you go from research question to launched survey in one place.
The drafts are designed to be neutral — no leading phrasing, balanced scales — but you know your context best. Review every question, and pilot the survey on a few people before sending it widely.
Yes. Describe the anonymity requirement and the survey can be built without collecting identifying information, with a notice that tells respondents their answers are anonymous.
Yes. The agent designs branching as part of the draft, so follow-up questions appear only when relevant to a respondent's earlier answers.
Multiple choice, rating and agreement scales, rankings and open-text questions — combined with consistent scales and branching paths.
Responses collect automatically into a dashboard showing distributions for closed questions and readable open-text answers. The data lives in your project, under your control.
Yes — it's a common use. Describe the market and the decision at stake, and the agent drafts behavior-first questions designed to reduce hypothetical bias. For major investments, have a researcher review the instrument.
The survey publishes to your domain from a project you own, built on a standard, exportable codebase. Response data is yours — not locked in a survey platform's tier.
There's no artificial response cap during early access. If you're planning a very large panel, talk to us about your expected volume.
The survey builder is free during early access, with no credit card required.
Dual7 Agents
Describe who you're asking and what you need to learn — get a well-worded survey with logic, collection and a results dashboard. Start with your own input — the output is an editable project you own.
500+ users in production · Kanan.co moved off Salesforce onto Dual7 in four months · 100% code owned
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