{"id":28447,"date":"2026-04-15T11:15:04","date_gmt":"2026-04-15T11:15:04","guid":{"rendered":"https:\/\/refiner.io\/docs\/?post_type=knowledgebase&#038;p=28447"},"modified":"2026-04-15T12:47:44","modified_gmt":"2026-04-15T12:47:44","slug":"chatgpt-integration","status":"publish","type":"knowledgebase","link":"https:\/\/refiner.io\/docs\/kb\/integrations\/chatgpt-integration\/","title":{"rendered":"ChatGPT Integration"},"content":{"rendered":"\n\n\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p>This guide explains how to connect Refiner to <a href=\"https:\/\/chatgpt.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT<\/a> so you can analyze survey response data directly within your conversations. Once connected, you can leverage ChatGPT\u2019s natural language capabilities to summarize open-ended responses, detect trends, extract themes, and generate actionable insights from your survey data.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"923\" src=\"https:\/\/refiner.io\/docs\/wp-content\/uploads\/2026\/04\/CSAT-Screenshot-2026-04-14-at-15.45.32-1024x923.png\" alt=\"\" class=\"wp-image-28452\" srcset=\"https:\/\/refiner.io\/docs\/wp-content\/uploads\/2026\/04\/CSAT-Screenshot-2026-04-14-at-15.45.32-1024x923.png 1024w, https:\/\/refiner.io\/docs\/wp-content\/uploads\/2026\/04\/CSAT-Screenshot-2026-04-14-at-15.45.32-800x721.png 800w, https:\/\/refiner.io\/docs\/wp-content\/uploads\/2026\/04\/CSAT-Screenshot-2026-04-14-at-15.45.32-768x692.png 768w, https:\/\/refiner.io\/docs\/wp-content\/uploads\/2026\/04\/CSAT-Screenshot-2026-04-14-at-15.45.32.png 1442w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<p>By integrating Refiner via its <a href=\"https:\/\/refiner.io\/docs\/kb\/integrations\/mcp-server\/\">MCP (Model Context Protocol) server<\/a>, you enable ChatGPT to securely access and process your survey data. This allows you to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Summarize qualitative (open-text) responses<\/li>\n\n\n\n<li>Identify recurring themes and sentiment<\/li>\n\n\n\n<li>Segment feedback by user attributes<\/li>\n\n\n\n<li>Detect trends across time or cohorts<\/li>\n\n\n\n<li>Generate insight reports instantly<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Prerequisites<\/h2>\n\n\n\n<p>Before you begin, make sure you have a ChatGPT Pro plan (or higher). A paid Pro plan is currently required to add custom data connectors.<\/p>\n\n\n\n<p>We\u2019re actively working to have Refiner included in ChatGPT\u2019s official Apps catalog. Once that happens, this requirement will no longer apply.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Connect Refiner to ChatGPT<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Open ChatGPT settings<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Open ChatGPT<\/li>\n\n\n\n<li>Click your profile icon (top-right corner)<\/li>\n\n\n\n<li>Navigate to <strong>Settings<\/strong><\/li>\n\n\n\n<li>Go to <strong>Apps &amp; Connectors<\/strong> (or similar section depending on UI updates)<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Add a Custom Connector<\/h3>\n\n\n\n<p>Since Refiner is not yet listed in the ChatGPT app catalog, you\u2019ll need to manually configure it:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Click <strong>Add Custom Connector<\/strong> (or <strong>Add App<\/strong>)<\/li>\n\n\n\n<li>When prompted for a server URL, enter the one shown below<\/li>\n\n\n\n<li>Confirm and proceed with authentication <\/li>\n<\/ol>\n\n\n\n<p>The Refiner MCP Server is located at:<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"raw\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">https:\/\/app.refiner.io\/v001\/mcp<\/pre>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Authenticate with Refiner<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Log into your Refiner account if required using the login credentials you normally use to connect to the Refiner dashboard<\/li>\n\n\n\n<li>Grant permissions for ChatGPT to access your survey data<\/li>\n\n\n\n<li>Complete the connection setup<\/li>\n<\/ul>\n\n\n\n<p>Once successful, Refiner will be available as a data source inside ChatGPT.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Start analyzing survey data<\/h3>\n\n\n\n<p>After connecting, you can immediately begin querying your survey data using natural language prompts. You&#8217;ll find a couple of examples below.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Example use cases<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Summarize open-text responses<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cSummarize the key feedback from my latest NPS survey\u201d<\/li>\n\n\n\n<li>\u201cWhat are the main complaints mentioned in responses?\u201d<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Identify trends &amp; themes<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cWhat themes appear most frequently in customer feedback?\u201d<\/li>\n\n\n\n<li>\u201cWhat are the top reasons users gave for low satisfaction scores?\u201d<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Segment analysis<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cCompare feedback between promoters and detractors\u201d<\/li>\n\n\n\n<li>\u201cWhat do users from France mention most often?\u201d<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Sentiment &amp; insights<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cAnalyze sentiment across all responses\u201d<\/li>\n\n\n\n<li>\u201cWhat actionable insights can I derive from recent feedback?\u201d<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Sample prompts<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">NPS feedback analysis<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;What is our current NPS score?&#8221;<\/li>\n\n\n\n<li>&#8220;What are the key drivers behind the score according to provided open-text verbatim?&#8221;<\/li>\n\n\n\n<li>&#8220;How did our NPS score evolve in the last month?&#8221;<\/li>\n\n\n\n<li>&#8220;What are the top five things we can do to improve our NPS score?&#8221;<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">CSAT feedback analysis<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;What is our current CSAT score?&#8221;<\/li>\n\n\n\n<li>&#8220;What are the key drivers behind the score according to provided open-text verbatim?&#8221;<\/li>\n\n\n\n<li>&#8220;How did our CSAT score evolve in the last month?&#8221;<\/li>\n\n\n\n<li>&#8220;What are the top five things we can do to improve our CSAT score?&#8221;<\/li>\n\n\n\n<li><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Trend detection<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cHow has user sentiment changed over the past 3 months?\u201d<\/li>\n\n\n\n<li>\u201cAre there emerging issues in recent responses compared to older ones?\u201d<\/li>\n\n\n\n<li>How did our CSAT score evolve in the last month and what were the drivers for the change?&#8221;<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Product insights<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u201cWhat are the top 5 recurring pain points mentioned by users?\u201d<\/li>\n\n\n\n<li>\u201cWhat features do users request most frequently?\u201d<\/li>\n\n\n\n<li>\u201cBased on the feedback, what should we prioritize improving?\u201d<\/li>\n\n\n\n<li>\u201cWhat frustrations do users mention about &lt;something&gt;?\u201d<\/li>\n\n\n\n<li>\u201cGet the latest survey responses and turn the list of product recommendations\u201d<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Best practices<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Be specific<\/strong>: Narrow queries produce more actionable insights<\/li>\n\n\n\n<li><strong>Iterate<\/strong>: Refine prompts to dig deeper into patterns<\/li>\n\n\n\n<li><strong>Segment data<\/strong>: Analyze subsets (e.g., by score, date, user segment)<\/li>\n\n\n\n<li><strong>Combine queries<\/strong>: Ask follow-ups to expand on initial findings<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Troubleshooting<\/h2>\n\n\n\n<p><strong>Connector not working?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Verify the MCP URL is correct<\/li>\n\n\n\n<li>Ensure your ChatGPT plan supports custom connectors<\/li>\n\n\n\n<li>Re-authenticate your Refiner account<\/li>\n<\/ul>\n\n\n\n<p><strong>No data returned?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Confirm your Refiner account has survey responses<\/li>\n\n\n\n<li>Check permissions granted during setup<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Summary<\/h2>\n\n\n\n<p>Connecting Refiner to ChatGPT unlocks a powerful workflow for survey analysis:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>No manual exports<\/li>\n\n\n\n<li>No complex dashboards<\/li>\n\n\n\n<li>Just natural language insights, instantly<\/li>\n<\/ul>\n\n\n\n<p>Once set up, ChatGPT effectively becomes your <strong>AI research assistant<\/strong>, helping you turn raw survey data into clear, actionable decisions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction This guide explains how to connect Refiner to ChatGPT so you can analyze survey response data directly within your conversations. Once connected, you can leverage ChatGPT\u2019s natural language capabilities to summarize open-ended responses, detect trends, extract themes, and generate actionable insights from your survey data. By integrating Refiner via its MCP (Model Context Protocol) [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/refiner.io\/docs\/kb\/integrations\/chatgpt-integration\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","template":"","knowledgebase_tag":[],"class_list":["post-28447","knowledgebase","type-knowledgebase","status-publish","hentry","knowledgebase_cat-integrations"],"featured_image_urls_v2":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":"","ab-block-post-grid-landscape":"","ab-block-post-grid-square":"","gb-block-post-grid-landscape":"","gb-block-post-grid-square":""},"post_excerpt_stackable_v2":"<p>Introduction This guide explains how to connect Refiner to ChatGPT so you can analyze survey response data directly within your conversations. Once connected, you can leverage ChatGPT\u2019s natural language capabilities to summarize open-ended responses, detect trends, extract themes, and generate actionable insights from your survey data. By integrating Refiner via its MCP (Model Context Protocol) server, you enable ChatGPT to securely access and process your survey data. This allows you to: Summarize qualitative (open-text) responses Identify recurring themes and sentiment Segment feedback by user attributes Detect trends across time or cohorts Generate insight reports instantly Prerequisites Before you begin, make&hellip;<\/p>\n","category_list_v2":"","author_info_v2":{"name":"Moritz Dausinger","url":"https:\/\/refiner.io\/docs\/author\/user\/"},"comments_num_v2":"0 comments","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ChatGPT Integration<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/refiner.io\/docs\/kb\/integrations\/chatgpt-integration\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ChatGPT Integration\" \/>\n<meta property=\"og:description\" content=\"Introduction This guide explains how to connect Refiner to ChatGPT so you can analyze survey response data directly within your conversations. 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Once connected, you can leverage ChatGPT\u2019s natural language capabilities to summarize open-ended responses, detect trends, extract themes, and generate actionable insights from your survey data. 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