This post contains affiliate links. If you purchase through our links, we may earn a commission at no extra cost to you.
A star rating tells you customers are roughly satisfied. It doesn’t tell you why they almost didn’t buy, what nearly made them cancel, or which one small fix would turn your quietest customers into your loudest advocates. AI customer feedback tools collect that signal systematically — NPS, CSAT, and open-text responses — and increasingly use AI to actually analyze the “why” behind the score instead of leaving you with just a number.
One notable shakeup: Delighted, long the default beginner pick in this category, is shutting down on June 30, 2026, as Qualtrics consolidates the product into its enterprise suite. If you were using it, or considering it, here’s where to look instead.
The best AI customer feedback and NPS tools for solopreneurs
Survicate — best all-around replacement for Delighted
Survicate collects feedback across email, website, in-product, and mobile from one platform, with AI-driven analysis of responses and an AI survey generator that builds a full survey from a written brief. The free plan covers 25 responses a month; paid Growth plans start around $114/month. The most direct like-for-like alternative for anyone migrating off Delighted.
Canny — best for turning feedback into a product roadmap
Canny is built less around scoring satisfaction and more around collecting and prioritizing feature requests, using AI Autopilot to pull feedback signals out of conversations across Intercom, Zendesk, and other support tools automatically. The right fit if your real question isn’t “how happy are customers” but “what should I build or fix next.”
Retently — best for closed-loop NPS programs
Retently specializes in NPS specifically, with automated closed-loop workflows that route detractor responses to you for immediate follow-up rather than letting a bad score sit unaddressed in a dashboard. A strong option if the real goal is catching unhappy customers early enough to save the relationship, not just measuring the score.
AskNicely — best for frontline or field-service teams
AskNicely is built for businesses with customer-facing staff (field service, hospitality) and includes coaching workflows that connect individual feedback back to specific team members or interactions. Pricing is sales-led rather than published, so it leans toward businesses with more than a handful of customer touchpoints to manage.
Refiner — best for lightweight, in-app micro-surveys
Refiner is built specifically for triggering short, targeted surveys inside a SaaS product or app at the exact moment that matters — right after onboarding, right before a renewal decision — rather than blasting a generic survey to your whole list. Best fit if you run a software product or app-based service rather than a general service business.
Which one should you choose?
Want the most direct all-around replacement for Delighted? Survicate. Trying to prioritize what to build next? Canny. Want to catch and win back unhappy customers fast? Retently. Managing a customer-facing team? AskNicely. Running a SaaS product and want feedback triggered in-app? Refiner.
Feedback tells you what to fix; our AI review management tools guide covers turning happy responses into public reviews, and our AI form and survey tools roundup covers building broader surveys beyond just satisfaction scoring.
We break down a new solo-business tool category every week in The Solo Stack. Subscribe to follow along.
Frequently asked questions
I was using Delighted — what should I do before it shuts down?
Export all your historical response data before June 30, 2026, since Qualtrics has confirmed the data won’t be accessible after the shutdown. Then decide what you’re actually replacing: pure NPS/CSAT measurement points toward Survicate or AskNicely, while a desire for deeper qualitative understanding of the “why” behind scores points toward a more analysis-focused tool.
What’s a good NPS score for a small business?
It varies significantly by industry, but a positive score (more promoters than detractors) is generally healthy, and anything above 50 is considered excellent in most B2C categories. The absolute number matters less than the trend — whether your score is improving or declining over time as you make changes.
How many responses do I actually need for the data to mean anything?
For a directional read, even 20–30 responses can surface real patterns, especially in open-text comments. For a statistically reliable NPS score you’d want more, but as a solopreneur, treating even a small number of detailed responses as a genuine listening exercise is usually more valuable than chasing a large, impersonal sample size.
Should I survey every customer, or just a sample?
For a solo business with a manageable customer base, surveying everyone (rather than sampling) is usually fine and gives you the most complete picture. Sampling matters more at a scale most solopreneurs haven’t hit yet; the bigger risk at small scale is survey fatigue from asking too often, not from asking too many people.
Can AI actually understand nuance in open-text feedback, or does it miss context?
AI sentiment and theme analysis has improved substantially and handles clear positive or negative language well, but still occasionally misses sarcasm, mixed feedback, or industry-specific context. Read through open-text responses yourself periodically, especially for anything the AI flags as strongly negative — the summary is a starting point, not the final word.