9 Best CSAT Survey Software Tools for 2026
11
 MIN READ
September 22, 2026
CSAT survey software collects a satisfaction rating after an interaction and turns the responses into something a team can act on. The category splits three ways: helpdesk-native tools that fire after a ticket, standalone survey builders that run across channels, and enterprise experience platforms with the analytics and governance to match.
One thing has changed since most published comparisons were written. Delighted, a longtime default recommendation in this category, was retired by Qualtrics and shut down on June 30, 2026, so any 2026 roundup still listing it is out of date.
Nine platforms below, grouped by which of the three jobs you are actually buying, with pricing where vendors publish it.
TL;DR
Buying the wrong kind is the common mistake, and it is expensive in a different way each time.
| Type | What it does | Buy it when |
|---|---|---|
| Helpdesk-native | Fires a rating from the ticket or agent signature, scores agents | Support quality is the question and your tickets live in one helpdesk |
| Standalone survey platform | Surveys across email, web, in-app, SMS and kiosk, with logic and templates | You need feedback at several points, not just after a ticket |
| Experience management | Multi-touchpoint programmes, advanced analysis, governance, closed loop | CSAT is a company-wide programme with an owner and a budget |
The mismatch to avoid: buying an enterprise platform to measure post-ticket satisfaction for a twelve-person support team, or trying to run a company-wide experience programme on a tool that only knows about tickets.
The default for post-ticket CSAT on a mainstream helpdesk.
Ratings embed directly into ticket resolutions and agent email signatures, so the customer rates the interaction in one click while it is still fresh. It covers CSAT, CES and NPS, integrates with the major helpdesks including Zendesk, Freshdesk and Intercom, and reports at agent level.
Before optimising for it, read what call deflection actually measures and why resolution is the better target.
Best for: support teams whose main customer touchpoint is a ticket queue and who want per-agent quality data.
Not for: multi-touchpoint feedback programmes, or teams needing complex survey logic. Reviewers consistently note that survey design customization is limited.
Pricing: published and tiered by seats and response volume, starting at $59 per month for the Starter plan, which covers 3 user seats and 100 survey responses. Removing vendor branding generally means moving up a tier, so check that before comparing entry prices.
Helpdesk-triggered CSAT with a lighter footprint.
One-click ratings from within ticket workflows, with follow-up questions, team and agent reporting, and integrations across common support and service desk tools. It is built for the same job as Nicereply and competes on simplicity and setup speed.
Best for: small and mid-size support or managed service teams who want CSAT running this week.
Not for: enterprise programmes needing governance, or teams wanting in-app and web surveys.
Pricing: four published tiers (Standard, Pro, Elite, Enterprise), with Standard starting at $119 per month.
The widest channel coverage of the standalone tools here, for product and support teams running more than one survey point.
Surveys across website, in-app, email, link and Slack, with targeting rules, ready-made templates and integrations into CRM and support tools. It is quick to launch without engineering help, which is why product-led teams reach for it.
Best for: SaaS and product-led companies running continuous feedback across more than one touchpoint.
Not for: teams that only want a post-ticket score, where a helpdesk-native tool is cheaper and simpler.
Pricing: published plans gated on response volume and features, with AI categorization starting at $349 per month. Check the response cap against your ticket volume, since that is where the bill escalates.
Conversational surveys with a broad feature set.
Chat-style survey formats that lift completion rates against traditional forms, multi-channel distribution, workflow automation and reporting. It spans CSAT, NPS and CES, and extends into wider experience use cases including employee feedback.
Best for: teams that want higher completion rates and are willing to design surveys rather than accept defaults.
Not for: a team that wants one metric on one touchpoint, where the breadth is unused cost.
Pricing: published plans by response volume and users.
The familiar generalist, and frequently the pragmatic answer.
Fast survey creation, a deep template library, broad distribution and reporting that anyone in the business can read without training. It is not built specifically for post-ticket CSAT, and for many organizations that does not matter.
Best for: teams needing CSAT alongside other survey work, or organizations that already have it and do not need another tool.
Not for: automated per-ticket triggering and agent-level scoring, which is not its design.
Pricing: published, per user with response allowances. Watch per-response overages, which is where this model surprises people.
Multi-channel collection including the offline cases others ignore.
CSAT, NPS and CES across email, SMS, web, in-app, kiosks and tablets, with offline collection, real-time alerts and closed-loop workflows. The in-person channels are the differentiator, which matters for retail, hospitality, clinics and any business with a physical location.
Best for: businesses collecting feedback in person as well as digitally.
Not for: pure software companies with no physical touchpoint, where the kiosk capability is paid for and unused.
Pricing: published plans by responses and users.
Programme-shaped CSAT without an enterprise contract.
Automated CSAT, NPS and CES campaigns across channels, with segmentation, response tagging and trend analysis aimed at teams running an ongoing measurement programme rather than a one-off survey.
Best for: mid-market CX teams who need cohort and segment trends and have outgrown a helpdesk widget.
Not for: enterprises needing formal governance, or small teams wanting the simplest possible score.
Pricing: published plans.
The enterprise experience management standard.
Multi-touchpoint programmes, sophisticated survey logic, text and driver analysis, role-based governance and the integration depth large organizations need. It is also the platform that retired Delighted to focus on its own suite, which tells you where the product strategy sits.
Best for: organizations running a formal, funded experience programme with an owner.
Not for: a support team that wants post-ticket CSAT. Pricing is quote-based and the platform is sold against funded, company-wide programmes, which is a different purchase from a per-ticket score.
Pricing: quote-based.
The other enterprise platform, strongest where feedback spans many physical and digital touchpoints.
Signal capture across channels, text analytics, role-based action workflows and the operational tooling to route feedback to the person who can act on it. Its centre of gravity is large, multi-location operations.
Best for: enterprises with distributed locations or complex customer journeys.
Not for: anything below enterprise scale. One current status note, since it affects a multi-year commitment.
Pricing: quote-based.
It shut down on June 30, 2026.
Delighted was widely recommended for one-click CSAT and NPS over email, SMS and Slack, and was acquired by Qualtrics, which subsequently retired the product to focus on its own suite. Feature development stopped before the shutdown date.
Two practical consequences. If you are still running it, migration is not optional and the official path points at a considerably more expensive platform, so the lighter standalone tools above are worth evaluating on their own merits rather than by default. And when you read comparison content in this category, check the publication date, because a surprising amount of currently ranking material still lists it as a top pick.
They all tell you the score. None of them tells you why it moved.
A 1-to-5 rating after a ticket is a measurement, not a diagnosis. The free-text comment box is where the reason lives, and it is read inconsistently, summarized by whoever has time, and acted on rarely.
The response rate problem compounds it. Only a small and self-selected slice of customers ever responds to a survey, skewed toward the delighted and the furious, so the middle of your customer base is largely invisible in your CSAT number.
Two things help more than a better survey tool. Reading the actual interactions rather than the ratings, and asking for feedback in the channel where the interaction happened rather than in an email sent afterwards.
That second point is where phone surveys sit. Retell is a Customer Experience AI Platform for Autonomous Customer Relations, and a post-interaction survey can happen as a short call rather than an email that goes unopened, with the customer answering in their own words.
This is a pillar 1 question: who owns the improvement loop once the feedback arrives. Reading the reason is only useful if the person who read it can act on it. Unlike managed AI vendors and BPOs, a change does not become a ticket, a queue, or another SOW. Canon replaced days of change requests and meetings with direct adjustments its own team makes in Retell, and across the platform 80% of production minutes run through agents customers build and manage themselves.
Post-call analysis turns those calls into structured data, and AI quality assurance scores the interactions themselves against your criteria, which is a different signal from a rating returned by the small, self-selected group who answered the survey.
Order status is the largest of these categories, and WISMO covers why it is still a phone problem.
The honest limit: a CSAT platform is still the system of record for the score. What this adds is a reason attached to that score, and a channel that reaches the customers who never fill in a form.
Software that sends a customer satisfaction survey after an interaction, collects the rating and any comment, and reports the results. Tools differ mainly in where the survey fires, how many channels they cover, and how much analysis sits behind the score.
It depends on industry, channel and how you ask, which makes cross-company benchmarks close to meaningless. Track your own trend, segment it by channel and issue type, and treat a change as the signal rather than the absolute number.
CSAT measures satisfaction with a single interaction, NPS measures likelihood to recommend over time, and CES measures how much effort a task took. They answer different questions and most teams running a serious programme use more than one.
The helpdesk-native tools integrate directly with the major support platforms and fire from the ticket. Most standalone survey platforms also offer helpdesk integrations, though triggering tends to be less tightly coupled and agent-level reporting less detailed.
No. It shut down on June 30, 2026 after Qualtrics retired the product. Existing users have had to migrate, and any comparison still recommending it was written before the shutdown.
Ask in the channel where the interaction happened, ask quickly, keep it to one question with an optional comment, and do not ask the same customer repeatedly. Response rate is a distribution problem far more than a software problem.
Before you change survey tooling, prove the gap on your own calls. Run post-interaction survey calls against one real segment for a week, then put what customers said out loud next to the ratings your current tool returned for the same week. Keep whichever one tells you more. Run it on one segment.
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