This article will guide you on how to create an Inactive Users survey about Reasons For Inactivity. If you want to build an effective, friendly survey effortlessly, Specific can help you generate one in seconds.
Steps to create a survey for Inactive Users about Reasons For Inactivity
If you want to save time, just click this link to generate a survey with Specific. The process with modern AI survey tools is shockingly simple.
Tell what survey you want.
Done.
You don’t even need to read further. The AI creates your Inactive Users survey with up-to-date expert knowledge in seconds. It even asks respondents personalized follow-up questions as needed, collecting deep insights automatically.
Why Inactive Users feedback matters
Let’s be direct: if you’re not running surveys to understand why users go inactive, you’re missing major opportunities to improve engagement and reduce churn.
Here’s why:
60% of SaaS trial users never return after their first session—that’s traffic, time, and potential revenue slipping away without ever understanding the “why” behind their silence [1].
Inactive user feedback highlights product gaps, UX friction, unmet expectations, or onboarding problems you can’t spot from your dashboard alone.
With 44% of SaaS licenses inactive, organizations are wasting real money on licenses no one uses [3].
Listening to Inactive Users can surface “deal breaker” experiences that continue to affect active users today.
Ignoring these voices means unresolved pain points, lost improvement ideas, and higher churn you could have prevented. Running a conversational survey isn’t a “nice to have”—it’s how you protect your bottom line and make your product better for everyone. The importance of Inactive Users recognition surveys is clear: those who listen, win.
What makes a good survey on reasons for inactivity
The difference between a “meh” survey and one that actually gathers actionable intelligence comes down to clarity and tone. The best Reasons For Inactivity surveys use:
Clear, unbiased questions that don’t lead or assume blame. You want honesty, not defensiveness.
Conversational, human wording—it should feel like a real chat, not a dry audit form. People open up more when they aren’t interrogated.
To see this visually, here’s a quick comparison:
Bad practice | Good practice |
|---|---|
Why didn’t you care enough to use our product? | What stopped you from coming back after signing up? |
Were you too lazy to complete onboarding? | Was there anything in the onboarding process that made you hesitate? |
The best measure of survey quality? You want both a high quantity and high quality of responses. If only a handful reply, or those replies are vague (“Just busy”), the survey missed the mark.
What are good question types for an Inactive Users survey about reasons for inactivity
The strongest surveys blend question types—each serving a clear purpose. Here’s how we approach this at Specific:
Open-ended questions invite authentic, context-rich answers beyond checkboxes. Use them when you want to uncover stories or unexpected blockers. For example:
Can you tell us what made you stop using the product?
Was there a moment where it felt easier to just stop coming back? Please describe.
Single-select multiple-choice questions help structure analysis and spot patterns quickly—ideal when reasons typically fall into specific buckets. For example:
What was the main reason you stopped using our service?
I didn’t see enough value
The product was too complex
I found a better alternative
Other (please explain)
NPS (Net Promoter Score) question uncovers overall sentiment and helps benchmark user loyalty. We recommend this early in the survey to frame follow-ups. Want a ready-to-go template? Create an NPS survey for Inactive Users here.
On a scale from 0 to 10, how likely are you to recommend our product to a friend or colleague?
Followup questions to uncover "the why" are where the real insight lives. Ask these when an answer is short or signals there’s more to the story. For example:
You replied, “Too busy to use it.”
Follow-up: Was there anything about the product that made it harder to fit into your routine?
These follow-ups often transform vague responses into actionable specifics. Want more sample questions and a full walkthrough? Check out our guide to best questions for inactive user surveys.
What is a conversational survey
Conversational surveys feel like a human chat: one question at a time, with natural probing and responsive follow-ups. This change in format—compared to cold web forms—dramatically increases both completion rates and the candor of responses. Thanks to AI, the survey adapts to each user’s answers in real time.
The difference between manual survey creation (traditional approach) and modern AI-powered tools is night and day. With manual methods, you need to think through every question, script potential follow-ups, and hope you’ve anticipated the right logic. AI survey generators like Specific do all the heavy lifting for you, leveraging up-to-date knowledge and best practices instantly.
Manual surveys | AI-generated surveys |
|---|---|
Rigid, scripted | Dynamic, adapts live |
Boring forms | Feels like a real chat |
No follow-ups unless planned | Asks smart follow-ups live |
Time-consuming to build | Generated in seconds |
Why use AI for Inactive Users surveys? Because it lets you launch a research-grade survey in minutes, not weeks. It also means you never have to worry about missing a critical follow-up, since the AI probes deeper automatically. For an AI survey example or to learn how to launch this type of conversational survey instantly, read our illustrated guide on how to create a survey using AI.
At Specific, we’ve built a best-in-class conversational survey experience—making user feedback smooth and even enjoyable for Inactive Users and creators alike.
The power of follow-up questions
There’s a real difference between collecting superficial data and landing on true insights—and that difference is follow-up questions. Automated AI follow-ups are a cornerstone of any modern, conversational survey.
Inactive User: “I just stopped using it, not sure.”
AI follow-up: “Was there anything about the product or your experience that contributed to this decision?”
Without the follow-up, we’re left guessing. With it, patterns emerge—maybe it’s confusing navigation, feature overload, or a missing capability. Automated follow-ups save you days of manual outreach and back-and-forth emails, while the AI keeps the conversation natural and responsive.
How many followups to ask? We suggest 2–3 rounds for most questions, but you want a setting to move on after the user gives a clear answer. With Specific, you’re always in control—just adjust the followup depth as needed.
This makes it a conversational survey and transforms the experience from a “questionnaire” to a two-way dialogue. That’s where honest, detailed feedback actually surfaces.
AI survey analysis is easy with Specific—even if you have hundreds of unstructured, text-heavy replies, you can analyze survey responses with AI in seconds.
Automated follow-up questions are newly possible thanks to advanced AI. I recommend you try generating a survey just to experience the difference.
See this Reasons For Inactivity survey example now
Create your own survey in seconds. Surface hidden reasons for user inactivity with smarter, AI-driven conversational questions and real-time analysis.