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70 Listings in Customer Feedback Available
Noora is an all-in-one product feedback platform built for SaaS teams, combining feature voting, a public roadmap, a changelog, and NPS surveys in a single connected tool. Its key advantage is that all four components work together - when you ship a feature users requested, Noora automatically notifies everyone who voted for it, closing the feedback loop without manual work. The platform lets users submit and vote on feature requests, view a public roadmap of what is planned and in progress, read a changelog of shipped features, and respond to NPS surveys, with anonymous feedback supported on all plans to remove sign-up friction. Because the components are connected, feedback flows into the roadmap and out to the changelog automatically. Noora offers a Startup plan at 29 dollars per month (14 dollars billed annually) with feedback boards, public roadmap, changelog, and NPS surveys, a Growth plan at 59 dollars (29 annual) adding user segmentation, private boards, custom domain, Jira integration, and Segment, and an Enterprise plan at 129 dollars (64 annual) with custom CSS and white-labeling. It integrates with Jira, Intercom, Segment, and thousands of tools via Zapier. Aimed at SaaS teams wanting a connected feedback loop, it competes with Canny, UserJot, Featurebase, Nolt, and Frill.
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Fider is an open-source customer feedback platform that lets teams create a feedback board where users submit ideas, vote on them, and leave comments, while admins manage posts with tags, custom statuses, and filters. Free to self-host with no feature gates, it is a popular choice for teams that want a simple, transparent way to collect and prioritize product feedback. The platform covers the core of feedback management - idea submission, voting, discussion, tagging, and status management - in a clean, self-hostable app. Because it is open source, teams can run it on their own infrastructure for the cost of a small VPS, keeping full control of their feedback data, or use the managed cloud for zero DevOps. Fider is free and open source to self-host, with a managed cloud that is free under a fair-use policy of 250 feedback requests and a Pro plan at 25 dollars per month adding content moderation and unlimited feedback items. In v0.33.0 it moved to an open-core model, placing content moderation and SEO indexing behind the paid cloud tier. Fider covers voting boards, comments, and tags well but lacks a changelog, roadmap view, and AI. Aimed at teams wanting simple open-source feedback, it competes with Canny, UserJot, Featurebase, Nolt, and Noora.
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Explore how leading Customer Feedback solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Customer Feedback ecosystem.
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Roadmunk, now part of Tempo as Strategic Roadmaps, is a product roadmap tool that lets teams build multiple roadmap views from a single dataset to align executives, product, and engineering without duplicating effort. Its standout capability is generating different visualizations - timeline and swimlane views - tailored to each audience from the same underlying data. Beyond visualization, Roadmunk includes feedback management to capture and prioritize customer and internal input, and prioritization features to decide what makes the roadmap. This combination lets product managers move from gathering ideas to prioritizing them to communicating the plan in audience-specific views, all in one tool. Roadmunk offers tiered pricing - Starter at 19 dollars, Business at 49 dollars, and Professional at 99 dollars per month, plus custom Enterprise - with a 14-day free trial on all plans. The Business plan adds feedback management and portfolio views, while Enterprise adds SSO, priority support, and a dedicated CSM. Aimed at product teams wanting flexible roadmap views plus feedback, it competes with ProductPlan, Aha!, airfocus, and Productboard.
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What is Kapiche? Kapiche is feedback analytics software offering customer feedback analytics that turns surveys, reviews and tickets into insights. Based in Brisbane, Australia, Kapiche helps CX and insights teams work more efficiently and achieve better outcomes. Key features of Kapiche Theme discovery Sentiment analysis Driver analysis Dashboards Analytics and reporting Integrations with Zendesk, Intercom, Salesforce and more Who uses Kapiche? Kapiche is built for CX and insights teams. It suits teams that want theme discovery without spreadsheets and disconnected tools. Why choose Kapiche? Compared with alternatives like Thematic, Kapiche differentiates on theme discovery. Pricing is quote-based and scoped to your usage and team size.
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Enterpret is an AI customer feedback analytics platform that unifies feedback from every channel - support tickets, reviews, surveys, sales calls, social, and community - and uses machine learning to categorize and quantify what customers are saying. Instead of manually tagging feedback, teams get an adaptive taxonomy that surfaces themes, trends, and their business impact across all sources. The platform is built for scale and granularity: it ingests high volumes of unstructured feedback, applies customer-specific models to categorize it accurately, and lets product, CX, and research teams run natural-language queries and advanced filters to find precise insight. By quantifying qualitative feedback, it helps teams prioritize based on how many customers are affected and how much revenue is at stake. Enterpret uses usage-based, quote-only pricing with plans such as Basic, Pro, and Enterprise, priced by the volume of feedback analyzed and the number of integrations needed to unify data sources; the Enterprise plan adds unlimited user licenses, a dedicated CSM, and customer-specific models. Aimed at product and CX teams at scaling and enterprise companies, it competes with Dovetail, Thematic, Cycle, and Productboard for feedback intelligence.
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What is Feefo? Feefo is verified reviews software offering a verified reviews platform for collecting genuine customer and product reviews. Based in United Kingdom, Feefo helps retailers and service brands work more efficiently and achieve better outcomes. Key features of Feefo Verified reviews Product reviews Google Seller Ratings Insights Analytics and reporting Integrations with Shopify, Magento, Salesforce Commerce Cloud and more Who uses Feefo? Feefo is built for retailers and service brands. It suits teams that want verified reviews without spreadsheets and disconnected tools. Why choose Feefo? Compared with alternatives like Trustpilot, Feefo differentiates on verified reviews. Pricing is quote-based and scoped to your usage and team size.
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Zonka Feedback is a multichannel customer experience and survey platform that helps businesses collect and act on feedback across email, SMS, WhatsApp, web, in-app, kiosks, and offline channels. It supports NPS, CSAT, CES, and custom surveys, along with contact and journey tracking, so teams can measure experience at every touchpoint and route insights to the right people. The platform pairs survey collection with CX operations: automation and workflows, location and agent-based CX management, online reputation management, and real-time alerts help close the loop on feedback quickly. A separate AI Feedback Intelligence product adds GenAI-powered thematic and sentiment analysis, trends, impact analysis, and role-based dashboards for teams that want to mine large volumes of feedback for patterns. Zonka Feedback offers two main products: a Feedback Management plan around 199 dollars per month priced mainly by responses, and an AI Feedback Intelligence plan around 999 dollars per month priced by data credits, which can be bundled. Aimed at CX, support, and operations teams across retail, healthcare, and services, it competes with SurveySparrow, Qualtrics, SurveyMonkey, and Delighted for multichannel feedback and CX management.
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What is Lumoa? Lumoa is customer feedback analytics software offering AI customer feedback analytics that unifies feedback sources into actionable insights. Based in Helsinki, Finland, Lumoa helps CX teams work more efficiently and achieve better outcomes. Key features of Lumoa Feedback aggregation AI topics Impact analysis Dashboards Analytics and reporting Integrations with Zendesk, Intercom, Salesforce and more Who uses Lumoa? Lumoa is built for CX teams. It suits teams that want feedback aggregation without spreadsheets and disconnected tools. Why choose Lumoa? Compared with alternatives like Chattermill, Lumoa differentiates on feedback aggregation. Pricing is quote-based and scoped to your usage and team size.
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What is Bazaarvoice? Bazaarvoice is ratings, reviews and UGC software offering ratings and reviews, user-generated content and syndication for brands and retailers. Founded in 2005 and based in Austin, Texas, USA, Bazaarvoice helps brands and retailers work more efficiently and achieve better outcomes. Key features of Bazaarvoice Ratings and reviews Syndication network Social UGC Sampling Analytics and reporting Integrations with Shopify, Magento, Salesforce Commerce Cloud and more Who uses Bazaarvoice? Bazaarvoice is built for brands and retailers. It suits teams that want ratings and reviews without spreadsheets and disconnected tools. Why choose Bazaarvoice? Compared with alternatives like PowerReviews, Bazaarvoice differentiates on ratings and reviews. Pricing is quote-based and scoped to your usage and team size.
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What is NiceJob? NiceJob is reviews and referrals software offering reputation marketing software that automates review collection, referrals and social proof for home services. Founded in 2016 and based in Toronto, Ontario, Canada, NiceJob helps home service and small businesses work more efficiently and achieve better outcomes. Key features of NiceJob Automated review requests Referral campaigns Review widgets Home services integrations Analytics and reporting Integrations with Google Business Profile, Shopify, Facebook and more Who uses NiceJob? NiceJob is built for home service and small businesses. It suits teams that want automated review requests without spreadsheets and disconnected tools. Why choose NiceJob? Compared with alternatives like Podium, NiceJob differentiates on automated review requests. Pricing is quote-based and scoped to your usage and team size.
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Canny is a customer feedback management platform that helps product teams capture, organize, and prioritize what users want. Instead of feedback scattered across support tickets, sales calls, and Slack, Canny centralizes feature requests in feedback boards where customers (and internal teams) can post ideas and vote on them, so the loudest problems and most-wanted features become clear. It closes the loop with public or private roadmaps and a changelog to announce what's shipped. The platform turns feedback into product decisions. Votes, comments, and segments reveal demand and which customers (by plan, revenue, or attributes) want each feature, so prioritization reflects business value, not just volume. AI helps deduplicate and summarize incoming feedback, integrations pull requests from Intercom, Zendesk, Slack, and more, and syncs push prioritized items to Jira, Linear, GitHub, and Asana for delivery. Roadmaps keep stakeholders aligned, and the changelog re-engages users when requests ship. Canny serves product managers and SaaS teams that want a dedicated feedback-and-roadmap tool. Pricing (restructured in 2025 to Free, Pro, and Business) is based on tracked users: a Free plan (up to about 25 tracked users) with boards, roadmap, and changelog; a Pro plan from about $79/month (annual) that scales with tracked users (for example higher at 200, 1,000, and 5,000 users); and custom Business pricing. It competes with Productboard, Aha!, Frill, Nolt, and UserVoice, differentiating on simple, focused feedback boards plus roadmaps and changelog.
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Nolt is a simple, clean feedback board and roadmap tool that lets businesses and creators collect, organize, and prioritize user feedback in one public or private place. Users submit ideas and vote on them, teams triage and update statuses, and a connected roadmap shows what is planned, in progress, and done - turning scattered requests into a transparent, votable backlog. The platform is designed to be lightweight and pleasant to use, with custom fields, custom statuses, private boards, SSO, and a public roadmap, plus integrations with Slack, Discord, and GitHub. It focuses on doing feedback boards well rather than being an all-in-one product suite, which appeals to teams that want a straightforward, good-looking way to gather and showcase product feedback. Nolt uses board-based pricing with no free plan: an Essential tier at 29 dollars per month billed annually for one board, and a Pro tier at 69 dollars per month for five boards (with unlimited-board options), plus a 10-day free trial on Pro. It deliberately omits a changelog and AI features like duplicate detection or auto-tagging, keeping the product focused. It competes with Canny, Frill, Featurebase, and Sleekplan as a feedback-and-roadmap tool.
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Customer feedback software helps organizations collect, analyze, and act on what customers think across surveys, reviews, support interactions, and product usage, turning scattered opinions into a structured signal that guides decisions. This guide explains what customer feedback software is, how it works, the features that matter, and how to choose the right platform.
Customer feedback software helps organizations collect, analyze, and act on what customers think across surveys, reviews, support interactions, and product usage, turning scattered opinions into a structured signal that guides decisions. This guide explains what customer feedback software is, how it works, the features that matter, and how to choose the right platform.
Customer feedback software is a platform for systematically gathering customer opinions and experiences, then analyzing them to understand satisfaction, sentiment, and needs. It captures feedback through surveys (NPS, CSAT, CES), in-app prompts, reviews, support tickets, and other channels, and consolidates it into actionable insight.
The purpose is to replace guesswork and anecdote with a continuous, structured understanding of how customers feel and what they want. Instead of feedback sitting in disconnected inboxes, survey tools, and review sites, the platform centralizes it, quantifies it, and routes it to the teams who can act.
The category spans dedicated survey and experience-management platforms, in-product feedback tools, and review-management solutions, increasingly unified under the banner of customer experience (CX) management. Companies adopt it because experience is a key differentiator, and acting on feedback drives retention, loyalty, and better products.
Feedback is collected at relevant moments through the right channel, a post-purchase survey, an in-app prompt after a key action, an NPS email, or a review request. Responses flow into a central system that scores, categorizes, and analyzes them, often using AI to detect themes and sentiment.
Core components include survey building and distribution, multichannel collection, sentiment and text analytics, dashboards and reporting, alerting, and closed-loop workflows that route issues to owners. Integrations with CRM, support, and product tools connect feedback to customer records and trigger action.
For example, a SaaS company sends an NPS survey after onboarding, automatically tags detractors' comments by theme, alerts the success team to follow up with at-risk accounts, surfaces recurring complaints to product, and tracks whether scores improve after changes ship, closing the loop from feedback to action to outcome.
Tools to create NPS, CSAT, CES, and custom surveys and distribute them via email, in-app, SMS, or web at the right moments. Flexible, well-timed surveys are the primary way structured feedback is captured, and timing strongly affects response quality and rate.
Gathering feedback from surveys, in-app prompts, reviews, support, and social in one place. Consolidating every source gives a complete picture rather than a fragmented one, which is essential for trustworthy insight.
AI analysis of open-ended responses to detect themes, sentiment, and emerging issues at scale. Text analytics turn thousands of comments into quantified, actionable themes that humans couldn't process manually.
Real-time views of scores, trends, and segments for different teams and stakeholders. Clear reporting makes feedback visible and actionable across the organization and tracks whether experience is improving.
Automated alerts and routing so detractors or critical issues reach the right owner for follow-up. Closing the loop, actually responding to and resolving feedback, is what turns measurement into retention and trust.
Connections to CRM, support, and product tools that tie feedback to customer records and trigger action. Integration makes feedback part of the operational workflow rather than a standalone report nobody acts on.
Structured, ongoing feedback replaces guesswork with a clear, current picture of satisfaction, sentiment, and needs.
Identifying and following up with dissatisfied customers before they leave protects revenue and improves retention.
Aggregated feedback reveals what customers actually want, guiding the roadmap toward changes that matter.
Themes and trends pinpoint where experience breaks down, so teams fix root causes rather than react to one-offs.
Shared feedback data gives product, support, and leadership a common, customer-centric basis for decisions.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| NPS & survey platforms | Relationship and transactional survey programs | SMB to enterprise | Easy to deploy, strong benchmarking | Survey-centric; may miss other signals |
| In-product feedback tools | Contextual feedback inside apps and products | SMB to enterprise | High-context, timely signals | Limited to digital product users |
| Experience management (CX) suites | Enterprise-wide voice-of-customer programs | Enterprise | Deep analytics and omnichannel reach | Complex and costly to deploy |
| Review & reputation tools | Collecting and managing public reviews | SMB to enterprise | Builds social proof and local SEO | Focused on public reviews, not deep analytics |
SaaS & Technology: Tech companies use customer feedback software to scale go-to-market motions, align teams, and operate efficiently as they grow.
Manufacturing: Manufacturers apply customer feedback software to manage complex, multi-stakeholder processes across long cycles and distributed operations.
Healthcare: Healthcare and life-sciences organizations use customer feedback software where accuracy, security, and compliance are non-negotiable.
Retail: Retailers use customer feedback software to manage high volumes, personalize engagement, and react quickly to demand.
Financial Services: Banks, insurers, and fintechs rely on customer feedback software for control, auditability, and regulatory compliance.
Education: Institutions and edtech firms use customer feedback software to manage stakeholders and scale programs efficiently.
Real Estate: Real-estate and property teams use customer feedback software to manage long cycles and high-value relationships.
Professional Services: Agencies and consultancies use customer feedback software to deliver client work profitably and forecast accurately.
E-commerce: Online retailers use customer feedback software to unify data across channels and grow customer lifetime value.
Clarify whether you need relationship NPS, transactional CSAT, product feedback, or reviews, the right platform depends on your primary objective.
Ensure the platform captures feedback through the channels and moments that fit your customer journey, from email to in-app to support.
Evaluate text and sentiment analytics, since the ability to turn open-ended comments into themes at scale is what separates insight from raw data.
Confirm the platform supports alerts and workflows to act on feedback, not just collect it, since action drives the value.
Check connections to your CRM, support, and product tools so feedback ties to customer context and triggers follow-up.
Favor tools non-technical teams can use to build surveys and read dashboards, since adoption across teams determines impact.
Look for benchmarks and the ability to segment feedback by customer, product, or journey stage for sharper insight.
Understand how pricing scales with responses, contacts, or features so it remains viable as your program grows.
AI text analytics extract themes, sentiment, and intent from open-ended feedback at scale, surfacing what customers care about without manual tagging.
Predictive models link feedback signals to churn and lifetime value, helping teams prioritize the customers and issues that matter most.
Generative AI summarizes feedback into clear narratives and even drafts personalized responses for closed-loop follow-up.
Expect AI to unify and interpret feedback across every channel into a continuous voice-of-customer signal; prioritize vendors with strong analytics and integrations, since the value is in action, not collection.
Customer feedback software is a platform for systematically collecting, analyzing, and acting on customer opinions and experiences. It gathers feedback through surveys like NPS, CSAT, and CES, in-app prompts, reviews, support interactions, and other channels, then consolidates and analyzes it to reveal satisfaction, sentiment, and needs. The purpose is to replace guesswork with a continuous, structured understanding of how customers feel and what they want, and to route that insight to teams who can act. Modern platforms include survey building, multichannel collection, AI-powered text and sentiment analytics, dashboards, and closed-loop workflows. By turning scattered opinions into an actionable signal, customer feedback software helps organizations reduce churn, improve experience, and build products customers actually want.
Net Promoter Score (NPS) is a widely used loyalty metric based on one question: how likely a customer is to recommend a company or product on a 0–10 scale. Respondents are grouped into promoters (9–10), passives (7–8), and detractors (0–6), and the score is the percentage of promoters minus the percentage of detractors, ranging from -100 to +100. NPS is popular because it's simple, benchmarkable across companies, and correlates with growth. Most platforms pair the score with an open-ended 'why' question whose comments are often more valuable than the number itself. NPS works best as part of a broader feedback program, tracked over time, segmented, and followed up through closed-loop processes, rather than treated as a single vanity number.
These are three common feedback metrics measuring different things. NPS (Net Promoter Score) measures overall loyalty and likelihood to recommend, making it a relationship metric. CSAT (Customer Satisfaction) measures satisfaction with a specific interaction or product, usually on a 1–5 scale, making it transactional. CES (Customer Effort Score) measures how easy it was to accomplish something, such as resolving a support issue, on the premise that low effort drives loyalty. They're complementary: NPS gauges the broad relationship, CSAT checks satisfaction at key touchpoints, and CES pinpoints friction in specific tasks. Good feedback programs use the right metric for each purpose, NPS for relationship tracking, CSAT after transactions, CES after support or onboarding, rather than relying on any one alone.
Closed-loop feedback is the practice of acting on feedback and following up with the customer, rather than just collecting and reporting it. The 'inner loop' is responding to individual feedback, reaching out to a detractor to resolve their issue, while the 'outer loop' is using aggregated feedback to fix systemic problems and improve products and processes. Customer feedback software supports this with alerts that route negative or critical feedback to the right owner, workflows to track follow-up, and analytics to surface recurring themes for systemic action. Closing the loop is what turns feedback from a passive measurement into a driver of retention and trust, because customers who see their feedback acted on feel heard. Collecting feedback without closing the loop wastes the effort and can even frustrate customers.
Feedback software reduces churn primarily by identifying dissatisfied or at-risk customers early and enabling timely follow-up. When a customer gives a low NPS or CSAT score or leaves a negative comment, the system can alert the account or success team to reach out, resolve the issue, and rebuild the relationship before the customer leaves. Beyond individual saves, aggregated feedback reveals the systemic problems driving churn, confusing onboarding, missing features, poor support, so teams can fix root causes and reduce future attrition. Some platforms also link feedback signals to churn prediction. The combination of early warning, closed-loop follow-up, and systemic improvement makes feedback one of the most direct tools for retention, since the customers most likely to leave often tell you why if you listen and act.
Survey fatigue happens when customers are asked for feedback too often or with surveys that are too long, lowering response rates and skewing results toward the very motivated. To avoid it, ask less but better: keep surveys short and focused, trigger them at meaningful moments rather than constantly, and respect frequency limits so the same customer isn't repeatedly surveyed. Use sampling rather than surveying everyone for every interaction, and make sure customers see that feedback leads to action, which sustains willingness to respond. Many platforms include fatigue controls and global frequency caps. The goal is a sustainable feedback program that gathers representative, high-quality responses over time, not one that burns out your customers with constant requests and then suffers declining, biased participation.
AI transforms feedback analysis by processing open-ended responses at scale. Text analytics automatically extract themes, detect sentiment, and identify emerging issues across thousands of comments that no team could read manually, turning unstructured feedback into quantified, actionable insight. AI can also link feedback signals to churn and lifetime value to prioritize the most important customers and issues, and generative AI can summarize feedback into clear narratives and even draft personalized follow-up responses. This shifts teams from drowning in raw comments to acting on synthesized insight. When evaluating platforms, scrutinize the quality of their text analytics, since naive keyword approaches produce misleading themes. Strong AI analytics are increasingly the difference between a feedback program that generates reports and one that drives real decisions and improvements.
The right channels depend on your business and customer journey, but a complete program usually spans several. Email and SMS surveys work for relationship NPS and post-transaction CSAT; in-app or website prompts capture contextual feedback at the moment of an action; support interactions yield CES and satisfaction signals; reviews provide public feedback and social proof; and social media surfaces unsolicited sentiment. Collecting from multiple channels gives a fuller, less biased picture than any single source. The key is to match the channel and timing to the moment, surveying right after a relevant experience while it's fresh, and to consolidate everything into one system so the signals combine rather than fragment. Start with the channels that cover your most important touchpoints and expand from there.
A basic survey tool focuses on creating and distributing surveys and tabulating responses. Customer feedback software is broader: it collects feedback from many channels beyond surveys, applies sentiment and text analytics to understand open-ended responses, provides dashboards and benchmarking, and, crucially, supports closed-loop workflows that route feedback to owners and track action. In other words, a survey tool helps you ask questions, while feedback software helps you build an ongoing program that consolidates, interprets, and acts on customer signals to improve experience and retention. For simple one-off surveys, a survey tool suffices, but for a continuous voice-of-customer program tied to business outcomes, the analytics, integrations, and closed-loop capabilities of dedicated feedback software deliver far more value.
Measuring feedback ROI means linking feedback activity to business outcomes rather than just response counts. Track whether closed-loop follow-up with detractors improves their retention, whether segments with rising NPS or CSAT show higher renewal and expansion, and whether product changes driven by feedback reduce related complaints and churn. Connecting feedback data to your CRM lets you correlate scores with actual revenue, retention, and lifetime value. You can also quantify saved accounts from inner-loop follow-up and reduced support volume from fixing systemic issues. The key is deliberate measurement: establish baselines, tie feedback to outcomes you care about, and report the connection. Programs that demonstrate links between acting on feedback and retention or revenue earn continued investment, while those that only report scores struggle to prove their worth.
Pricing varies with scope and scale. Simple NPS or survey tools start affordably, often priced by responses, contacts, or seats, while enterprise experience-management suites with omnichannel collection, advanced analytics, and closed-loop workflows cost substantially more. Common models charge by survey responses or monthly contacts, by feature tier, or per user, sometimes with separate fees for advanced text analytics. Total cost should include program design, integration with CRM and support tools, and the team time to run closed-loop follow-up. When budgeting, estimate your response volume and required channels and features, then map them to each vendor's model, watching for limits and overages. The right choice balances capability against cost at your scale, since value comes from acting on feedback, not just collecting more of it.
Customer feedback software is used across teams and industries. Customer experience and success teams run NPS and CSAT programs and lead closed-loop follow-up; product teams use feedback to prioritize the roadmap; support teams measure satisfaction and effort after interactions; marketing uses reviews and sentiment for reputation and messaging; and leadership tracks experience trends as a strategic metric. Industries range from SaaS and e-commerce to financial services, healthcare, retail, and hospitality, essentially anywhere customer experience affects retention and growth. Within organizations, it's valuable from startups validating product-market fit to enterprises running large voice-of-customer programs. The common thread is any team that needs to understand and act on what customers think systematically rather than relying on anecdotes, intuition, or the loudest voices in the room.
