Here are some of the best questions for a SaaS customer survey about product-market fit, plus tips on how to create them. Use Specific to build your survey in seconds—we help you get feedback that matters, fast.
Best open-ended questions for SaaS customer survey about product-market fit
Open-ended questions are gold for digging deep, letting customers share context, unexpected use cases, and real obstacles in their own words. They work best when you want to understand motivations, pain points, and actual outcomes—insights multiple-choice can easily miss.
What problem does our product help you solve?
How do you use our product in your day-to-day workflow?
If our product was no longer available, how would that affect your work?
What’s your favorite feature, and why?
Which tasks do you still find challenging, even with our product?
Can you describe a recent “aha” moment you had while using our product?
What alternatives did you try before choosing our product?
What’s the biggest result or benefit you’ve seen?
How could we improve your experience further?
Is there anything stopping you from recommending our product to others?
Open-ended questions build a foundation. For example, the Sean Ellis Test—asking how users would feel if your product disappeared—highlights the strength of product-market fit when at least 40% say they'd be "very disappointed." [1] Answers to these questions will reveal both qualitative and benchmarkable signals.
Smart single-select multiple-choice questions for SaaS customer product-fit interviews
Single-select multiple-choice questions simplify data collection and are perfect for quantifying trends or giving someone an easy starting point. They’re great when you need measurable signals or want to get the conversation started quickly—sometimes folks express themselves best by picking from clear, concise options.
Question: How would you feel if you could no longer use our product?
Very disappointed
Somewhat disappointed
Not disappointed
I no longer use it
Question: How likely are you to continue using our product over the next 6 months?
Extremely likely
Somewhat likely
Not likely
Other
Question: What describes your primary goal in using our product?
Increase productivity
Save time
Reduce costs
Other
When to followup with "why?" When someone picks a concise answer—like "Very disappointed"—follow up by asking "Why?" That’s when real stories and motivations surface, offering clarity behind the numbers and helping you shape your product direction and messaging.
When and why to add the "Other" choice? Don’t assume you know all your customers’ goals. Adding "Other" (plus a followup) helps you discover unexpected use cases or jobs-to-be-done, often leading to genuine surprises and opportunities for the team. These insights are sometimes the ones that matter most and would otherwise be missed.
Should you include an NPS question for SaaS customers?
Absolutely. The Net Promoter Score (NPS) is a universally-recognized benchmark for customer satisfaction and loyalty—a high NPS (over 50, if you can get it) signals your product genuinely resonates with users. For SaaS product-market fit, it tells you how likely your customers are to actively recommend your solution—which goes beyond day-to-day usage and taps into real market traction. Quickly generate an NPS survey for SaaS customers.
And by the way, measuring NPS over time is a strong validation for product-market fit, especially when paired with retention and “very disappointed” scores. [2]
The power of follow-up questions
Automated, context-aware follow-up questions are where AI surveys get really smart. Instead of flat or ambiguous replies, you get stacked, layered insights—just like chatting with a pro researcher. Specific's AI followup questions make sure nothing slips through the cracks.
SaaS customer: “It’s good, but I wish it had better integrations.”
AI follow-up: “Which integrations are missing, and how would they change your workflow?”
When there’s no follow-up, you might end up with:
SaaS customer: “It’s fine.”
(No context—leaves you guessing what to improve or what works well.)
How many followups to ask? Usually, 2–3 targeted followups are enough to get rich, clear answers. Specific even lets you configure the intensity—setting a max or letting respondents move on after you get a solid signal.
This makes it a conversational survey: Instead of a boring form, your survey feels like a real, human chat—building trust and connection.
AI survey analysis, response summary, chat with AI: Even if you’ve collected loads of open-ended replies, it’s easy to analyze all the feedback using AI. No more spending hours sifting through free text—the platform summarizes and organizes your responses instantly.
Automatic followups are a different way to research—try generating a SaaS customer conversational survey to see how smooth it can be.
How to compose a prompt for AI to generate SaaS customer survey questions
Getting the most from an AI survey builder is about giving it clear, relevant instructions—here’s how you can prompt GPT systems to produce valuable product-market fit questions for SaaS customers.
Start with something direct:
Suggest 10 open-ended questions for SaaS customer survey about product-market fit.
But for even better results, give context about your audience, goals, and the state of your product. For example:
We serve mid-sized SaaS companies addressing team productivity. Our goal is to validate product-market fit and understand which features drive retention. Generate 10 insightful, open-ended questions to uncover our key value drivers.
To make things super organized, try letting AI categorize the questions:
Look at the questions and categorize them. Output categories with the questions under them.
Then, focus on areas you want to dig into further:
Generate 10 questions for categories "churn reasons" and "core benefits".
Prompting is an evolving skill, and with the right input, GPT-based survey makers like Specific help you craft effective conversational surveys fast.
What is a conversational survey, and why use AI to generate one?
A conversational survey is a feedback interview that feels like a natural chat, not a rigid form. Questions adapt dynamically, building on previous answers. Respondents are more comfortable, and engagement (and completion rates) rise. For SaaS customers, this means fewer dropoffs and richer user stories.
What’s the real difference compared to the old way? Check out this quick table:
Manual Survey | AI-Generated Conversational Survey |
|---|---|
Static, one-size-fits-all questions | Adapts to each person’s responses in real time |
Easy to miss nuance, context, or new insights | Follows up naturally to probe deeper and clarify |
Time-consuming to analyze, especially with long text answers | AI-powered analysis and summaries, ready for action |
Can feel tedious, especially on mobile | Feels like a conversation—mobile-native experience |
Why use AI for SaaS customer surveys? The simple answer: You unlock more insight, in less time, from every user segment. With a conversational AI survey, you get the nuance of an expert interview, the scale of a form, and AI tools to analyze everything. It’s a win for product teams, researchers, and—most importantly—your customers.
If you want to see how to actually set up a full feedback flow from scratch, we cover that step-by-step in how to create a SaaS customer product-market fit survey.
Specific is the leader in conversational surveys with best-in-class user experience. Our AI-driven approach makes feedback seamless and rewarding for everyone involved—whether you’re the creator or the respondent.
See this Product-Market Fit survey example now
Kickstart your SaaS product-market fit insights instantly—use AI to build surveys that ask better questions, follow up like an expert, and deliver actionable results with zero hassle. Don’t miss out on smarter feedback.