This article will guide you on how to create a prospect survey about feature priorities, leveraging AI-powered tools. With Specific, you can build tailored surveys in seconds—just generate your survey and start collecting insights right away.
Steps to create a survey for prospects about feature priorities
If you want to save time, just generate a survey with Specific and let AI do the rest. The entire process works with semantic surveys in mind:
Tell what survey you want.
Done.
You don’t even need to read further if you use AI for survey creation. The AI applies expert knowledge, crafting relevant questions and probing for deeper understanding—automatically following up with your respondents to collect richer insights.
Why running prospect surveys about feature priorities matters
Skipping structured surveys is a missed opportunity. If you’re not running direct feedback loops with your prospects, you’re missing out on:
Understanding what drives their interest and what deters them
Getting actionable product insights before building or prioritizing features
Profiling how your future customers weigh your roadmap decisions
Here’s the reality: 95% of US companies are using generative AI to supercharge business activities, a leap of 12 percentage points in just a year [4]. Yet, tons of teams still chip away at the iceberg blindly when it comes to feature prioritization—leaving growth and customer satisfaction on the table.
The benefits of prospect feedback are too high to ignore: increased conversion rates, higher user trust, and a roadmap that actually aligns with market demand. Here’s how you can even analyze survey responses with AI to uncover the big themes instantly.
What makes a good survey on feature priorities
Not all surveys are created equal—the best ones use clear, unbiased questions and carry a conversational tone that draws honest, real-world answers from prospects. You’re not just checking boxes: you’re encouraging dialogue.
To gauge if your survey is actually “good,” focus on both quantity and quality of responses. You want as many thoughtful answers as possible—not just a flood of quick “yes/no” clicks.
Bad practices | Good practices |
|---|---|
Leading questions | Neutral wording |
Too many questions | Focused on priorities |
Quality always beats volume, but if you set the right balance, both go up.
Types of questions for a prospect survey about feature priorities
Truly insightful prospect surveys use a mix of question types to surface both structured data and open-ended reasoning. Let’s look at how these work in a real survey.
Open-ended questions let prospects explain, in their own words, what really matters or what’s missing. Use them early to discover unknown priorities or hidden needs. For example:
What is your biggest challenge when evaluating our solution?
Are there any features you wish we offered?
Single-select multiple-choice questions give you structured data and are perfect when you have defined options to prioritize. For example:
Which of the following features would most influence your decision to try our product?
Integration with tools you already use
Advanced analytics and reporting
Flexible pricing
24/7 customer support
NPS (Net Promoter Score) question measures a prospect’s likelihood to recommend your product on a 0–10 scale, giving you a quick benchmark of advocacy. Want to see an instant NPS survey prefilled for this use case? Generate an NPS survey here. A typical question might be:
On a scale of 0 to 10, how likely are you to recommend us to a colleague, based on our current set of features?
Followup questions to uncover the "why" are where AI shines. After an initial answer, well-timed follow-ups dig for context—unlocking reasons, details, or hesitations that a static survey would miss. For example:
Why is that feature the most important to you?
Can you describe a scenario where this would help your workflow?
If you want to dive deeper on crafting perfect questions, check out the best questions for a prospect survey about feature priorities—you’ll find examples and pro tips to boost your survey’s effectiveness.
What is a conversational survey?
A conversational survey feels like a real dialogue, not a stale webform. AI survey generation takes what used to be a rigid checklist and transforms it into a live, contextual conversation. It asks, listens, adapts, and probes just like a savvy interviewer.
Manual survey building is slow-going, full of rewrites and dead ends. Compare that to AI-generated surveys, which use expert logic to produce engaging, dynamic flows—saving you hours and often surfacing better questions.
Manual surveys | AI-generated surveys |
|---|---|
One-way forms | Real conversation |
Why use AI for prospect surveys? Simple—AI survey example flows let you go from idea to insights in minutes, with smarter logic and a natural chat experience for users. If you want to see how to create a survey from scratch, this in-depth article covers the process and analysis too. With Specific, the user experience matches the smoothness of the best consumer chat apps, both for creators and your prospects.
The power of follow-up questions
Follow-up questions are the secret sauce. Automated follow-up questions in Specific mean your survey keeps digging until it gets the clarity and color you need—all in real time, contextually, and without extra manual work.
Picture this: without follow-ups, you get clunky or vague answers. With AI-driven follow-ups, your survey acts like an expert interviewer. Example:
Prospect: "I want better integrations."
AI follow-up: "Which integrations are most important to you, and why?"
How many followups to ask? In most cases, 2–3 well-crafted follow-ups are enough—just enough to get context, not so many that it feels like an interrogation. With Specific, you have settings to skip to the next topic once you’ve got what you need, so every exchange remains relevant and respectful.
This makes it a conversational survey: Instead of stilted, one-way data entry, respondents engage in a flexible conversation that feels much more natural—and you receive richer, contextual answers.
AI survey response analysis is the last mile—AI can summarize, extract themes, and help you drill down into all the unstructured text. You can easily analyze prospect survey responses using Specific, making a mountain of answers manageable.
Automated follow-up questions are a game changer—try generating a survey and experience the difference in depth for yourself.
See this feature priorities survey example now
Create your own survey in minutes—see how a seamless conversational format, real-time follow-ups, and automated insights can help your team make truly customer-driven roadmap decisions.