Best Customer Feedback Software in 2026

Three types of feedback software: know which you need

Relationship feedback (NPS / CSAT): Automated surveys sent at lifecycle milestones, post-onboarding, post-renewal, post-purchase. Options include Zonka Feedback, Survicate, or built-in helpdesk ratings.

Product feedback collection: Structured intake of feature requests and improvement ideas from users. Requires a tool that can aggregate, deduplicate, and prioritize, not just collect. Canny and UserVoice are built for this; general survey tools are not.

Enterprise VoC: Multi-channel signal aggregation across surveys, support tickets, and social. Requires Medallia or Qualtrics and a dedicated CX team to operate.

Most mid-market B2B teams need the first two types. Only enterprise teams with dedicated CX programs justify full VoC platforms.

Top customer feedback tools compared

Zonka Feedback: NPS and CSAT surveys with follow-up workflows

Delighted closed on June 30, 2026, and customer access ended on July 1, according to the official sunset FAQ. It is no longer a current buying option. Zonka Feedback is an alternative for teams that need NPS, CSAT, or CES surveys and a workflow for responding to the results.

Zonka collects feedback through channels including email, SMS, WhatsApp, web, and offline surveys. Its workflow documentation describes response-triggered tasks with an assignee, due date, reminder, and escalation rules. Teams can use those tasks and alerts to give low scores an owner and track follow-up.

The pricing page lists custom quotes for Feedback Management and AI Feedback Intelligence, with a bundle available. Feedback Management is priced by survey responses; AI Feedback Intelligence uses data credits. Confirm the required channels, integrations, and AI features in the quote. A 14-day self-serve trial is available.

Consider Zonka when you want recurring surveys and assigned follow-up work in the same platform. If you only need an occasional form, compare its quote with a general survey builder before committing.

Canny: best for product feedback boards

Canny is built specifically for product teams that need structured collection, deduplication, and prioritization of customer feature requests. The public feedback board lets customers submit ideas and vote. The internal workflow connects feedback to roadmap items and publishes status updates back to voters when features ship.

The Growth plan ($99/month) adds Salesforce/HubSpot integrations that connect feature requests to specific customers and their MRR, so product teams can prioritize based on revenue impact, not just vote count.

Ideal for SaaS product teams that want a systematic replacement for ad-hoc feature request tracking in Slack, email, or spreadsheets.

Frequently asked questions

Qualtrics: best for enterprise research

Qualtrics sits at the top of the market for organizations that treat feedback as a formal research discipline, not a product team's side project. It's the tool you reach for when you need branching survey logic, statistical analysis (conjoint, MaxDiff, regression), and the ability to combine survey data with operational data from your CRM and support desk. The platform holds a 4.4/5 on G2 across roughly 3,300 reviews, and it's the standard for academic research, employee experience programs, and large-scale brand tracking studies.

Pricing is the catch, and Qualtrics doesn't publish it. Plans are quoted annually and typically start in the $1,500-$5,000/year range for a basic CoreXM license, but most companies that actually use it land in the mid-five to six figures once they add CustomerXM, EmployeeXM, response volume, and seats. There's no per-agent meter the way help desks price; you're buying a platform contract and committing for a year. That structure prices out small teams entirely.

Use Qualtrics when you have a dedicated insights or research function, you're running relationship NPS across thousands of accounts, or you need the governance and security a regulated enterprise demands (it carries SOC 2, ISO 27001, and FedRAMP authorization). If your goal is a quick post-purchase survey or an in-app feedback button, you'll drown in features you never touch. A 20-person SaaS company collecting feedback from 500 users a month does not need Qualtrics: compare a focused survey tool such as Typeform before buying an enterprise suite. Reserve it for the 500-person org with a VP of Customer Experience and a budget line for research.

Typeform and SurveyMonkey: best for general surveys

When you need a standalone survey and don't want a research platform, Typeform and SurveyMonkey are the two defaults, and they pull in opposite directions. Typeform is built around one question at a time, a conversational layout that consistently lifts completion rates on longer surveys. SurveyMonkey is the workhorse, with more question types, stronger built-in reporting, and a free tier most people have already used at least once. Both score well on G2: Typeform around 4.5/5 (roughly 750 reviews) and SurveyMonkey around 4.4/5 (over 20,000 reviews).

Typeform's paid plans start at $25/month (Basic), with the Plus plan at $50/month and Business at $83/month, billed annually; response limits scale with each tier, and logic jumps plus hidden fields live on the higher plans. SurveyMonkey's Team Advantage runs about $25/user/month billed annually with a three-seat minimum, so a small team is looking at roughly $75/month to start, and individual plans begin near $39/month. Watch the response caps on both: cheap tiers throttle you fast once a survey goes out to a real list.

Pick Typeform when the survey is customer-facing and you care about brand feel and completion (onboarding questionnaires, lead-qualification forms, post-event feedback). Pick SurveyMonkey when you need rigorous question types, benchmarking against industry data, or you're handing the tool to non-technical colleagues who want templates and clean charts. Neither closes the loop or routes responses to an owner on its own, so treat them as collection tools that feed your CRM or spreadsheet, not as a system for acting on what you learn. For a 10-person marketing team running occasional surveys, either one beats paying for Qualtrics.

Hotjar and Sprig: best for in-product feedback

In-product feedback catches users in the moment, while they're actually using your app, which is where the most honest reactions live. Hotjar built its name on heatmaps and session recordings, then layered on lightweight on-site surveys and a feedback widget, good for seeing where people get stuck and asking them why right there. Sprig comes at it from the research side, firing targeted micro-surveys and concept tests based on user behavior and segment, with AI summarization of open-text responses. Hotjar holds about 4.3/5 on G2; Sprig sits around 4.6/5 on a smaller review base.

Hotjar offers a real free Basic plan, with paid Observe and Ask plans starting near $32/month each (billed annually) and scaling by monthly sessions; budget for both products if you want recordings and surveys together. Sprig has a limited free tier, then quotes annual contracts that typically begin around $175/month and climb with monthly active users and the number of studies; like Qualtrics, its real pricing is sales-quoted, so expect a sales conversation, not a self-serve checkout page.

Reach for Hotjar when you're optimizing a specific flow (a checkout, a signup, a pricing page) and you want behavioral evidence next to the verbatim. Reach for Sprig when product managers need to test ideas continuously against the right segment and don't want to wait on a research team. A growth team trying to cut signup drop-off gets more from Hotjar's recordings plus an exit survey than from a generic survey blast. The trade-off: both are tied to web and product surfaces, so they won't help you survey churned customers over email or run relationship NPS across your whole base.

Pendo: best for product-led feedback

Pendo is less a feedback tool and more a product-experience platform that happens to collect feedback well. Its draw is the combination: product analytics, in-app guides and onboarding walkthroughs, and a feedback module, all keyed to the same usage data. That means you can survey the exact users who triggered a feature (or never did), and you can act on a request by shipping an in-app guide without engineering. It earns roughly 4.4/5 on G2 across more than 1,500 reviews, and it's a common pick for product-led growth teams who want feedback wired directly into how the product behaves.

Pendo publishes a free plan capped at 500 monthly active users, but paid pricing is quoted annually and not listed. In practice, mid-market contracts commonly land in the $20,000-$50,000/year range depending on MAU bands and which modules (Analytics, Guides, Feedback, Sessions) you license. The Feedback module (originally the Receptive product Pendo acquired) lets customers submit and upvote requests, then ties demand to revenue so product managers can prioritize by account value, not just vote count.

Use Pendo when feedback needs to live inside a broader product operation: when the same team owns adoption metrics, onboarding, and the roadmap, and wants one system tying them together. It's overkill if you only need a survey, and it's a meaningful commitment of budget and implementation time. But for a product team at a 100-300 person SaaS company that's already paying for separate analytics, in-app messaging, and a feedback board, consolidating into Pendo can be the cheaper and cleaner path, and it puts the request-to-roadmap link in one place, not spread across three disconnected tools.

Unwrap: best for AI-powered analysis of unstructured feedback

Every tool above is built to collect feedback. Unwrap does that too, its own Surveys product sends email, tracked-link, or on-site widget surveys, but its main job is making sense of feedback once it is already piling up from other sources. It pulls in support tickets, reviews, survey open-ends, and sales-call transcripts, then groups the raw text into themes and flags sentiment shifts without anyone building a tagging taxonomy first. The Auto Tagger categorizes new feedback on ingest, an Assistant answers plain-language questions with charts and the actual customer quotes behind them, and Alerts push emerging trends to Slack or email as they happen instead of waiting for a monthly report. A Responder module goes a step further and drafts reply suggestions across channels, though someone still reviews before it sends. SupportIQ separately evaluates every support case rather than a sampled subset, tagging resolution outcomes and the path each agent took to get there.

It holds 4.7-4.8/5 on G2 across roughly 25 reviews, a smaller sample than the older enterprise players in this guide but a consistent one, with reviewers pointing to the interface and how fast it turns a pile of comments into a ranked list of issues; the recurring complaint is that custom reporting is thinner than dedicated analytics tools. Pricing starts at $24,000/year, scales by feedback volume and connected sources rather than seat count, and includes a 30-day trial on your own data. That is a different shape than the per-seat plans elsewhere in this guide, so budget it as a platform contract, not a per-user line item.

Ideal for teams already running Typeform or a support desk that is generating more feedback than anyone can read by hand, and who want the AI-analysis layer without building it themselves or committing to a full enterprise VoC platform like Qualtrics or Medallia. See our Unwrap vs Enterpret comparison for how it stacks up against the closest alternative at its price tier.

Feedback software by type, side by side

The tools in this guide aren't competitors so much as different jobs. A relationship NPS platform, a general survey builder, an in-product widget, and a product-led feedback board solve different problems, and most growing teams end up running two or three at once. Use the table below to match the type of feedback you need against the tool, the realistic starting cost, and the team it fits.

A survey tool can feed responses into your CRM or help desk, while a board such as Canny tracks product requests. Choose the collection and follow-up features you need before adding another platform.

How to actually close the loop on feedback

Most feedback programs fail not at collection but at what happens after. A survey response or a feature request that lands in a dashboard nobody owns is worse than useless: it teaches customers that giving feedback changes nothing. Closing the loop means three concrete things: routing each piece of feedback to a person, following up with the customer who gave it, and tying recurring themes to your roadmap so the loop actually closes back to the product.

Routing gives feedback an owner. Define which scores or comments need follow-up, assign the response to a person, and set a due date. Zonka documents response-triggered tasks and escalation rules; if you use a separate help desk or CRM, check that the required integration carries the response and customer context into that system. A 48-hour follow-up target is one possible team policy. The software does not guarantee a response time.

Follow-up is where you earn trust. Reach out personally to detractors to understand the score, and close the loop on positive feedback too (this is the part teams skip) by asking happy customers for a review or referral. Tying feedback to the roadmap is the third leg: aggregate verbatim and requests monthly, tag them by theme, and surface the top three to whoever owns prioritization. A feedback board such as Canny or Pendo Feedback helps here because it lets customers upvote and gives you a public changelog to point back to when you ship.

The discipline that separates programs that work from programs that don't: when you build something a customer asked for, go back and tell that specific customer. That single message does more for retention than another survey ever will. Pick your collection tools by feedback type, keep the stack lean, and spend the saved effort on routing, follow-up, and the roadmap link, the parts no tool does for you.

If you're building a customer experience stack rather than a single feedback tool, our best customer experience software guide covers the wider platform category.