Survey example: Inactive Users survey about reasons for inactivity

This is an example of an AI survey for Inactive Users about Reasons For Inactivity. Take a look, try the survey yourself, and see how much deeper you can go with your feedback process.

Most teams struggle to get honest, meaningful responses from Inactive Users—and finding the real reasons behind user drop-off is tough, especially when traditional surveys don’t deliver context.

At Specific, we focus on making every survey smarter and more insightful. The tools on this page are all part of Specific’s suite, crafted for professionals who want better answers with less manual effort.

What is a conversational survey and why AI makes it better for inactive users

Finding out why Inactive Users stopped engaging isn’t as easy as sending out a basic questionnaire. Traditional surveys are often ignored or result in one-word answers that don’t illuminate the real issues. Yet, understanding reasons for inactivity is crucial if you want to address churn or rejuvenate engagement.

Conversational surveys reinvent the experience. Instead of forms, users are greeted by chat-like questions that dig in naturally, adapting based on their answers. With AI survey generators, you get more than just a survey template—you get a tool that feels nearly human, equipped to clarify ambiguous replies and probe for real insights.

Why is that important for Inactive Users? Conversational surveys increase completion rates dramatically compared to standard forms—by up to 40%[2]. That’s a huge deal when online survey response rates often range from just 2% to 30%, depending on delivery and design [1].

Why use AI for Inactive Users surveys?

• AI-generated surveys make it effortless for users to interact—they feel heard, not interrogated

• Each reply shapes the next question, uncovering context you’d never get from a form

• Specific specializes in best-in-class conversational surveys, keeping feedback smooth, quick, and engaging

Read more on crafting the best questions for Inactive Users about reasons for inactivity, or learn how to create your own survey tailored to your needs. Try the AI survey generator if you want to start from scratch or adapt for different audiences.

Automatic follow-up questions based on previous reply

Almost every effective survey about reasons for inactivity hinges on capturing context when a user responds. That’s why Specific’s conversational AI asks smart follow-ups, dynamically generated on the spot. The result: you get complete stories, not flimsy one-liners.

• Inactive User: “I stopped using the app because it was confusing.”

• AI follow-up: “What specifically did you find confusing? Was it something in the layout, navigation, or a particular feature?”

Without follow-up, you’d just have “it was confusing”—leaving you guessing at the real issue. These proactive prompts mean no more chasing users by email for clarification, and responses arrive with the depth you need. See more about how automatic AI follow-up questions work.

Trying this survey yourself is the best way to experience the difference—each reply feels like a real conversation, not a form. That’s what makes it a true conversational survey.

Easy editing, like magic

Making changes to your survey shouldn’t require rebuilding it from scratch. With Specific’s AI survey editor, you just describe what you want changed in natural language—like “add a question about app onboarding” or “make it friendlier.” The AI handles the rest, factoring in research best practices. Tweak, clarify, or overhaul—edits happen in seconds, not hours.

Survey delivery that matches your users

You can deliver Inactive User surveys in two flexible ways, each designed to suit unique scenarios around reasons for inactivity:

• Sharable landing page surveys: Perfect when you want to reach users who are no longer logging in. Email them a unique link, drop it in a message, or share it on your support portal.

• In-product surveys: Great for gently nudging recently inactive users when they return, or for catching “quiet quitters” right before they disappear. Works just as well for always-on feedback touches inside your SaaS app.

Whether you need broad outreach or pinpointed in-product prompts, Specific covers every angle to maximize valuable answers from inactive users.

Analyze survey responses instantly with AI

Once responses roll in, Specific’s AI-powered analysis tools go to work. No spreadsheets or manual coding: the platform auto-summarizes user responses, spots main themes, and pulls out actionable trends—so you can see why users left and what might bring them back.

Features like automatic topic detection and chat-based analysis (try AI survey response analysis) put real insights at your fingertips. Want step-by-step guidance? Here’s how to analyze Inactive Users Reasons For Inactivity survey responses with AI.

See this reasons for inactivity survey example now

If you want answers that drive action, not just numbers, take this conversational AI survey for a spin. Experience firsthand how smart follow-ups and instant analysis can transform how you learn from inactive users—and get insights you can actually use.