This article will guide you on how to create an Inactive Users survey about Competitor Switching Reasons. Specific can help you build such a survey in seconds—just generate yours and start collecting valuable insights right away.
Steps to create a survey for Inactive Users about competitor switching reasons
If you want to save time, just click this link to generate a survey with Specific. Creating surveys is truly effortless:
Tell what survey you want.
Done.
You honestly don’t even need to read further. AI will create the survey with expert logic, and it even asks smart followup questions automatically to truly understand your users’ Competitor Switching Reasons.
Why it matters: don’t miss out on critical insights
If you’re not surveying inactive users about why they switch to a competitor, you’re missing a direct line to critical business intelligence. When we reach out directly to this group, we get:
Real feedback on what’s not working in our product or service
A rapid understanding of current market alternatives and unmet needs
The chance to learn how we can improve and win these users back
With customer feedback surveys providing insights into satisfaction, expectations, and the reasons users leave, acting on this data directly improves retention. According to researchers, surveys like these help us identify what to fix, what to double down on, and what to communicate more clearly to earn back trust and loyalty. If you’re not collecting this data, you’ll miss out on the opportunity to reduce churn and improve customer satisfaction—giving your competitors a real edge. [1]
Conversely, companies that embrace regular feedback from inactive users often experience higher satisfaction, stronger retention, and a better market fit for their product. If you only focus on active users, you risk overlooking the real reasons behind churn—and your reputation may quietly decline. [2]
What makes a good survey on competitor switching reasons?
Building a great survey to understand Competitor Switching Reasons is all about asking clear, unbiased questions and engaging users in a way that feels comfortable. The best surveys use a conversational tone—nothing stiff, nothing formal—so respondents are more likely to share honestly.
Keep questions specific, not too broad
Use simple language, avoiding jargon
Be direct, but not judgmental
Allow users to skip a question if they want—don’t force every answer
Let’s put it into perspective with a quick table:
Bad practices | Good practices |
|---|---|
Leading questions (“Why did you abandon our bad platform?”) | Neutral, open questions (“Can you share what prompted you to try a competitor?”) |
Compound/complex questions | One idea at a time per question |
No follow-ups or ability to clarify | Conversational probing for deeper insight |
The metric for success here is clear: you want both the quantity and quality of responses to be high. Getting lots of shallow answers doesn’t help; you need nuanced, actionable feedback to move the needle.
What are question types with examples for Inactive Users survey about competitor switching reasons?
Open-ended questions let respondents share details in their own words, uncovering surprising reasons and new perspectives. These are great early in a survey or when you want to discover the true “why.” For example:
What prompted you to check out an alternative to our product?
Can you describe any frustrations that led you to switch?
Single-select multiple-choice questions are perfect for quickly segmenting users or validating known patterns. These make analysis straightforward if you want to group types of churn reasons:
What was the biggest factor in your decision to switch to a competitor?
Pricing
Features missing in our product
Customer support experience
Other (please specify)
NPS (Net Promoter Score) question is a classic way to benchmark loyalty and spot hidden detractors. Want to see how to generate a complete NPS survey for this audience and topic? Here’s a typical format:
On a scale of 0-10, how likely are you to recommend us to a friend or colleague?
Followup questions to uncover "the why". These add massive value. Whenever you see a vague or short answer, followups help dig a level deeper. For example:
What made pricing a barrier for you?
Can you tell us more about what features you were missing?
If you want to dive deeper, check out these best questions for inactive user surveys along with more tips on how to create them.
What is a conversational survey?
A conversational survey doesn’t feel like a chore. Instead, it keeps users engaged through a message-style chat, asking clarifying questions and responding naturally—just like a real conversation. This approach gives far higher quality feedback than a static survey, especially when you use an AI survey generator rather than building everything manually.
Manual survey creation | AI-generated survey |
|---|---|
Copy-paste questions from templates | Chat your survey idea to AI, and get an optimized, tailored survey instantly |
Manually build logic for followups | AI asks real-time follow-ups based on user replies |
Requires lots of up-front thinking and writing | Expert-level structure with minimal effort |
Why use AI for inactive user surveys? Specific's AI-powered chat surveys go beyond collecting surface-level data by prompting more thoughtful feedback in a low-pressure context. They’re fast to launch, easy to edit, and lead users through a natural conversation that gets to the truth—no need to miss follow-up opportunities. Every AI survey example built this way yields richer, more reliable data for your business.
See how to create a survey with expert conversational experience and unlock better insights with Specific.
The power of follow-up questions
Follow-up questions are what transform a basic feedback form into a full conversation. With Specific’s automatic AI followup questions, every user is engaged as if you had a live researcher chatting with them in real time—probing, clarifying, and surfacing what really matters. Automated followups save huge time compared to manually reaching out to clarify unclear responses and keep the conversation flowing naturally.
Inactive User: “I left because of price.”
AI follow-up: “Could you specify which pricing aspect was a concern—for example, was it too expensive, confusing tiers, or lack of good value?”
How many followups to ask? Generally, 2-3 followups per topic get the richest insight without becoming annoying. It’s smart to let users skip further probing once you’ve collected what you need. Specific’s settings let you control this, keeping responses high-quality but never overbearing.
This makes it a conversational survey: The back-and-forth flow enabled by timely follow-ups turns the survey from a dumb form into a dynamic chat, getting past surface answers to the real “why.”
AI analysis, open-ended text, follow-up response themes: Don’t stress about collecting lots of open text—our AI makes it painless to analyze everything, extract high-level themes, and answer your own questions about the data instantly.
Automated followups are a breakthrough; try generating a survey and see how much deeper you can go.
See this competitor switching reasons survey example now
Your best users hold the answers—get actionable feedback today and discover why they’re switching, using expert-level conversational surveys built in seconds.