Survicate

Survicate is a customer feedback platform that combines survey tools with an AI research layer. It is for product, marketing, customer success and research teams that want to ask customers questions on their website, in their product or by email, and then analyze those answers next to support tickets, reviews and call recordings. Its pages describe one platform that "surveys every channel" and one that "unifies all feedback sources into insights." The site footer names the company as Survicate S.A. and says the product comes "from Poland."

What you build and how

You build surveys and the places they appear. The product page describes the first job as "Quickly create, and launch personalized surveys," with highly targeted in-product and mobile app surveys and AI that asks follow-up questions automatically. The home page says to install Survicate in seconds, and the product page promises to deploy in-app surveys in minutes with no more waiting on developers.

The survey builder is described in the home page FAQ. You start from scratch or from a library of pre-built templates covering NPS, CSAT, CES, product-market fit and more. The builder allows customization of questions, response types, branding elements and logic settings, and AI-assisted question suggestions help tune a survey for engagement. You choose a distribution method: website widgets, email campaigns, mobile apps or chat integrations. A preview function shows the survey as it will appear before launch. The FAQ adds that mobile app surveys collect in-app feedback on both iOS and Android, that surveys can recur on a schedule to track satisfaction over time, and that event-based surveys can fire after a purchase, a closed support ticket, a canceled subscription, cart abandonment or use of a certain feature. The marketing page lists the same reach as surveying customers at every touchpoint, on your website, via email or in-app, with advanced targeting so you reach the right visitors, and it says you can launch in minutes with no developer help required.

For the form side, the integrations page mentions notifications when a contact form is submitted, and the builder lets you pick the same distribution methods for any survey. Answers from every channel feed the same dashboards.

The second half of the product is analysis, centered on the Research Hub. It pulls in feedback beyond your own surveys: the page names 15+ feedback sources, including tools your team already uses such as Zendesk, Intercom and HubSpot, and the home page says it analyzes surveys, support tickets, call recordings and reviews. The page also names interview recordings and transcripts, which the AI parses for quotes, themes and sentiment, and App Store and Google Play reviews pulled in automatically, and its offer box names Gong and G2 among the sources. You can also drop in raw files, which the page lists as CSVs, PDFs, transcripts or exports from any tool, and give the AI company context such as product information, personas and research goals. From there the Research Hub offers several things.

• AI-drafted reports that you refine, customize and verify back to their source.
• Insight tracking, which follows themes across your feedback.
• AI Insights, which flag emerging patterns.
• Custom charts and dashboards.
• AI Chat, where you ask questions in natural language and get answers backed by real quotes.

The Research Hub page calls itself everything you need for comprehensive research, and lists conversational analytics, automated pattern recognition and custom dashboards that are generated automatically and fully customizable. It sets itself against pasting feedback into a general LLM, saying it is made up of purpose-built agents, 100+ researcher workflows and embedded research methodology, with multiple agents cross-checking insights. The marketing page adds an AI assistant that lets you ask about trends across all feedback and pull out testimonials, and it describes keeping stakeholders informed with automated notifications. The home page describes 3 steps: collect feedback across touchpoints, turn raw feedback into key themes automatically, and act by syncing survey data with your tools to trigger campaigns, enrich CRM profiles and inform the right teams.

Research can run as one-time or continuous projects, filtered by source, date and user segment. The product page also lists AI auto-translations, which translate multilingual studies and responses so they can be analyzed across markets.

Dashboards track NPS, CSAT and feedback trends in one place with drag-and-drop widgets. The home page says you can segment the data into customer groups based on demographics or behavior and build reports to share with your team.

The dashboards page text names concrete metrics. The home page FAQ says the custom dashboard tracks key customer feedback metrics, with Net Promoter Score listed as the measure of customer loyalty. It describes real-time tracking of survey responses and KPIs, and says you can segment data by customer demographics, custom attributes or behavioral traits.

Acting on the results is the last step. The integrations page lists native integrations, Zapier and custom options, labeled by direction (1-way or 2-way) and by team: marketing, product, customer service and research. It highlights a Linear integration that creates tickets from user feedback, an ActiveCampaign integration that launches automations from survey responses, and email notifications when a survey, contact form or specific response is submitted. The home page FAQ names more destinations: Salesforce, HubSpot and Pipedrive on the CRM side, Zendesk, Intercom and Freshdesk for help desks, Mailchimp, ActiveCampaign and Klaviyo for marketing automation, and Slack, Microsoft Teams and Trello for collaboration. The product page mentions generating bug reports from feedback in Jira and Linear and keeping the team informed with Slack summaries, while the marketing page mentions syncing responses to HubSpot, Braze and more, segmenting audiences and triggering follow-ups.

What the pages state

Pricing: the home, product, marketing and integrations pages publish no plan prices. They show calls to action such as "Start Free" and "Try now for free," and the integrations directory has filters for Free and Premium integrations. The Research Hub page runs a limited-time offer of "5,000 datapoints free" to try a first project, and defines a datapoint as any single piece of feedback it processes: a survey response, an interview transcript, a support ticket, a raw file upload or a review.

Scale: the Research Hub page says "Trusted by 2000+ research-driven teams."

Support: the site footer promises "Human support, on every plan," and the home page lists human live chat support with no bots, a 97% satisfaction rate and a first response in 2 minutes.

Customer results: on the product page, Celina Cabral, Product Lead at a fintech company, says feature validation became twice as fast because the team can reach customers for feedback quickly. On the marketing page, Robin Tussiot, CRM Manager at Kard, says the company had more than 1,000 answers from NPS surveys, redirected people who gave a 9 or 10 to leave an online rating, and went from 4.2 to 4.8 on Trustpilot.

Marketing use cases listed there include brand perception, market research, audience segmentation, continuous feedback, campaign feedback and conversion rate optimization. On security, the home page says you control what personal data is stored, accessed and shared, that "Your data is never used to train AI models," and that data sits in secure environments and is shared only through verified, encrypted third-party integrations. The Research Hub page claims "Enterprise grade security, EU Servers."

Who it suits and who it does not

Survicate suits a product or marketing team that wants surveys across several channels and wants the answers analyzed together with other customer feedback. A research team can use the Research Hub to bring tickets, reviews and survey data into one place, and a customer success team can route findings into Slack, Linear or HubSpot.

It may be more than you need if you only want a single on-site pop-up question. The breadth of channels, sources and integrations means more setup choices than a one-purpose widget, and plan prices sit on a separate pricing page rather than the product pages.