This article will guide you through how to create an Inactive Users survey about Feature Awareness. With Specific, you can build such a survey in seconds—just generate and launch it when you need to reach out.
Steps to create a survey for inactive users about feature awareness
If you want to save time, just generate a survey with Specific. Here’s how straightforward the process is with semantic surveys:
Tell what survey you want.
Done.
You don’t even need to read further—we use AI that draws on expert knowledge to design your survey in real time. It even crafts follow up questions for deeper insights, so you’ll always get more than surface-level answers. You can always create from scratch with our AI survey generator.
Why feature awareness surveys for inactive users matter
It’s easy to overlook inactive users, but learning from them is critical. **Understanding the reasons for inactivity shines a light on unmet needs, gaps in your onboarding, or hidden friction in your product**. If you’re not running these surveys, you’re missing out on insights that could transform retention and engagement.
Let’s put this in perspective: 63% of app users become inactive within 30 days of download, a number that jumps to 71% by 90 days. That’s a massive chunk of your user base that’s drifting away without telling you why [1]. On top of that, most users tap into only 6.4% of product features—meaning nine out of ten features go unrecognized and unused [2].
Not conducting Inactive Users recognition surveys is leaving valuable information on the table. These surveys help you:
Pinpoint which features are flying under the radar
Understand why users drop off or lose interest
Uncover friction points in your core flows
Spot opportunities for impactful re-engagement
The benefits of Inactive Users’ feedback extend beyond retention. They inform your roadmap, marketing, and support strategy. If you skip it, you’re essentially guessing at what users need, which is a missed opportunity to build something truly sticky.
What makes a good survey on feature awareness
A high-quality feature awareness survey is laser-focused, respectful of respondents’ time, and uncovers both quantitative and qualitative insights from inactive users. The essentials boil down to clear, unbiased questions and a conversational tone—anything that feels cold or formulaic just gets skipped.
Keep the language simple and inclusive, so even users who haven’t engaged in a while can follow along easily. Encourage honest answers by letting people feel they’re talking to someone who truly cares about their perspective.
What’s the sign of a good survey? You get both a high quantity and high quality of responses. In the end, it’s about getting enough honest feedback you can act on—not just collecting quick “yes/no” answers.
Bad practices | Good practices |
|---|---|
Leading or biased questions | Neutral, clear language |
Question types and examples for inactive users feature awareness surveys
The best surveys combine a mix of open-ended, multiple choice, and NPS questions, each offering their own strengths for this kind of audience and topic. Want to see more? Check out our guide on best questions for inactive users surveys about feature awareness—complete with expert tips and inspiration.
Open-ended questions are your secret weapon when you want deep, honest context in respondents’ own words. They’re perfect when you want to understand motivations and obstacles. Here are two examples:
What made you stop using the app or certain features?
Is there a feature you wish you knew more about before you became inactive?
Single-select multiple-choice questions help you quantify insights and spot trends quickly, especially around awareness and recall. These shine when you want structured responses, like this:
Which of these features are you aware of? (Select one)
Notifications
Advanced search
Saved lists
None of the above
NPS (Net Promoter Score) question is a proven format to gauge overall perception and future advocacy. It’s powerful for benchmarking and tracking re-engagement potential, and you can use this tool to generate an NPS survey for inactive users in a click. Example:
On a scale from 0–10, how likely are you to recommend our app to a friend or colleague?
Followup questions to uncover "the why". Followups are critical after each answer—they help you dig deeper, clarify ambiguous responses, and get to the underlying cause of inactivity or unawareness. For example:
Why did you choose that answer?
Can you share more about what confused you about the feature?
To see more question types, examples, and to learn how to craft your own, check the comprehensive guide to inactive users survey question design.
What is a conversational survey?
A conversational survey feels like a natural chat, not a stale form. It replicates the tone and flow of a real conversation—letting users feel heard and understood rather than interrogated. Specific’s AI-driven surveys make feedback sessions genuinely enjoyable, both for respondents and creators.
Compared to traditional/manual survey creation, AI survey generation is dramatically more efficient and insightful. An AI survey generator offloads mental heavy lifting, eliminates bias, and ensures best-practice design every time—no more wrestling with survey logic and branching rules by hand.
Manual surveys | AI-generated surveys |
Time-consuming setup | Instant, expert-quality creation |
Static questions with little personalization | Dynamically tailored questions and follow-ups |
Low engagement rates | Conversational experience for higher quality data |
Why use AI for inactive users surveys? AI excels at “reading between the lines,” recognizing patterns, and adapting its questions on the fly. That empowers you with an outstanding AI survey example—one that pinpoints gaps in feature awareness, triggers richer insight from even quiet users, and does it with minimal effort on your part.
At Specific, we’re proud to deliver the best-in-class conversational survey experience. The feedback process becomes smooth and engaging, giving you higher completion rates and higher-value data. Curious how quick it is to get started? Check out our step-by-step guide on how to create a survey and see it for yourself.
The power of follow-up questions
Follow-up questions elevate any survey, but with inactive users, they’re critical. Instead of accepting surface-level answers, Specific’s AI instinctively probes further—“Why?” “Can you elaborate?” “What would have changed your mind?”—all in real time. You don’t have to chase people down over email or risk misinterpreting vague feedback. For details on how this works, check our guide to automated followup questions.
Inactive user: “I never used the notifications.”
AI follow-up: “Can you share why notifications didn’t appeal to you?”
How many followups to ask? In general, 2–3 followups are enough to extract rich detail—just enough to clarify context without overwhelming the user. With Specific, you can configure how persistent the AI should be, or simply let the respondent move to the next question once you’ve gotten what you need.
This makes it a conversational survey—the AI builds on each response, making the experience feel like a focused, friendly chat. Respondents are more likely to open up, delivering value far beyond what form-based surveys could dream of.
Easy AI analysis. Don’t worry about getting buried in walls of text. With tools like AI survey response analysis and the blog on analyzing responses from inactive users surveys about feature awareness, you can instantly summarize, search, and interpret qualitative data at scale—even across thousands of open-ended answers.
Automated followups are a game-changer. If you haven’t tried generating a survey that uses this approach, you’re missing out on next-level insights—give it a spin and see how much richer your data becomes.
See this feature awareness survey example now
Ready to hear what you’ve been missing from your inactive users? Create your own survey and unlock crystal clear, actionable insights that drive real improvement and user re-engagement.