Centercode vs. Great Question

Great Question says you can launch interviews, surveys, and prototype tests and start getting participants quickly, from your own customers or its outside recruiting partners, with screening, scheduling, and incentives in one flow. Its pricing page lists all three methods on both its Self-⁠serve and Enterprise plans.

Interviews can run as an always-on study, and its help center lists repeatable surveys for tracking feedback over time. Its help page on prototype tests says there is no diary-study format, where people log entries over days or weeks, and we found no way to chain dated phases or events into one program.

Your own customers stay opted in to its panel for future studies, with contact limits and incentives built in, and customer advisory sessions are listed as a use of focus groups on the Enterprise plan. Its own guide calls a research panel a recruitment engine rather than an advisory board, and we found no community space with themes and discussion for members.

Its help center describes reusable interview guides, survey questions, and email copy, and a whole setup is reused by duplicating a study. Its templates page offers templates filtered by method and by goals such as discovery and concept testing, and we found no ready-made templates for advisory boards, early-access programs, or other kinds of program.

We found no AI red teaming, ambassador or advocate program, or acceptance testing offered in its product pages or help center. Its blog mentions advocacy programs and advisory boards as advice for readers, not as something the product runs, and its help center lists pre-launch QA as a use for its website tests. Its bug bounty post is about its own security, not a program a customer can run.

You can add your own people by CSV or API on any paid plan, by an invite link anyone can sign up through, or by a panel sign-up form. A sync from Salesforce or Snowflake is Enterprise only, and its pricing page lists the participant panel on both plans, under a Research CRM section it labels an add-⁠on.

Great Question recruits outside participants through partner providers, including Respondent and User Interviews, and you start a request from inside the study. Respondent is an add-on on both plans and User Interviews is an Enterprise add-on. Its external recruitment article says people found this way stay with that study instead of joining your own database.

Screeners mark answers as qualifying or disqualifying, branch with skip logic, and can screen people out straight away. Screener answers save to each person’s profile, and saved segments stay current as profiles change. We found no quota per audience in its help center, though an older company blog post mentions invite quotas.

Great Question calls this your own panel. People you import or who sign up through your form stay in your database, carry their consent and study history from one study to the next, and can be shortlisted into any study you run. We found no member area, forum, or portal where those people gather, only branded emails, landing pages, and sign-⁠up forms.

Its recruitment page promises hours rather than weeks, and its release notes describe a quick first match from User Interviews, on Enterprise only. Its own guides give a longer time for qualified participants from the external panel. Great Question says customers you import become a panel in minutes.

Great Question says its outside recruiting partners reach participants in many countries, and both are add-ons. Participant-facing pages such as booking, screeners, and consent forms can show in several languages on Enterprise plans, though that setting does not translate what you write yourself.

Great Question’s unmoderated tests can record a participant’s screen, microphone, and camera while they work through tasks on a prototype or a live website, with an optional reminder to think out loud. Recordings and transcripts land in the study, ready to clip into highlights and reels. On phones it records camera and audio but not the screen.

Great Question runs one-on-one interviews by video, phone, or in person, with self-booking against your calendar, automatic reminders, and observers who watch live. With live viewing switched on, an observer bot joins Zoom, Google Meet, or Teams calls (Webex is Enterprise only), then records them into the study with a transcript. With a custom link you upload the recording yourself.

Great Question says its AI interviewer runs one-on-one sessions at any hour and asks follow-up questions when an answer needs more depth, up to a limit you set for each question. Its help center says participants are told it is an AI, and that recordings, transcripts, and an AI-written study report come back to the study. It is an Enterprise add-on, so Self-serve accounts do not have it.

We found no trade-off study that shows which features and prices drive choice. Great Question’s own guide to concept testing tools lists conjoint and MaxDiff, two ways of making people choose between options, among the things it does not do.

We found no form where participants file issues or ideas as they use a product, and no feedback widget for your own website or app. Great Question’s own guides put in-product widgets and bug reports in a separate category of tools. The closest thing we found is a website test, where people think aloud on a live page and answer follow-⁠up questions you set.

Great Question sends rewards through Tremendous, and people choose how to redeem them, such as a gift card, PayPal, bank transfer, or a donation. You fund a wallet and set the amount for each person. Rewards can go out on their own after moderated sessions when you switch that on, and for other study types you send the thank-you yourself. People recruited through an outside marketplace are paid by that marketplace.

Study automations send invitation reminders and task reminders, interview reminders ahead of a booked session and, for moderated sessions, the thank-you with the reward. You choose which to switch on for each study, and for other study types the thank-you is sent by hand. One of its guides also mentions text message reminders, but its help center describes email reminders.

Great Question says teams can recruit their own customers or use outside recruiting partners on paid plans, and that in its AI-moderated interviews the evidence still comes from real participants. Its guide to synthetic users ends by saying not to use them to avoid talking to people, though it also says a rehearsal round can sometimes answer a low-stakes question without recruiting anyone.

Great Question offers a downloadable skill for AI assistants that builds customer profiles from clusters of real interview sessions, and a profile can react to a concept, a document, or a draft survey question you give it. We found no help article, release note, or feature page describing AI participants that take part in studies inside the product, though one role page mentions AI panels in a single line without explaining them. The skill page states no plan requirement, but its write-up says to point it at your Great Question research library, and its connector for AI assistants (called MCP) is listed as an Enterprise feature.

We found no digital twin feature in its product, help center, release notes, or case studies. Great Question’s guide describes building one yourself from one customer’s past research with identifying details removed, and its CEO writes that some customers are already experimenting with it. Its skill builds profiles from groups of sessions, not from one person.

You can upload interview recordings and PDF reports, import Zoom recordings, and link surveys built in other tools, such as Qualtrics or Google Forms, to a study. Its help pages disagree on whether answers from tools other than Qualtrics come back into the study: its repository page says they do, while its survey and Qualtrics pages describe response syncing only for Qualtrics, which is Enterprise only. Its help center says spreadsheet files (CSV, XLSX) cannot be uploaded directly, and we found no import of support tickets or app reviews and no scan of public pages.

Great Question says its AI writes a summary, chapters, highlights, and tags after every interview session, and its pricing page lists AI tagging and project synthesis on both plans. Its help center says AI Synthesis adds themes with linked quotes once an interview study has enough transcribed sessions, and its surveys page says AI analysis surfaces themes in open-ended answers. Its pricing page lists Ask AI across every study as Enterprise only, though its repository page invites visitors to try Ask AI free.

Highlights are clips cut from a transcript and shared by link, with a Public setting for people outside the account. Reels join highlights together and download as MP4, transcripts download as text, and the pricing page lists highlight and reel creation on both plans.

Its AI Synthesis groups the quotes from an interview study into themes with linked evidence, and Ask AI, which its pricing page lists as Enterprise only, groups results by theme across studies. Its help center describes Insights as a manual place where your team writes up findings. We found no step that merges matching reports into one insight.

Its help center says AI Synthesis numbers key insights in order of importance, and Great Question says themes in its AI-moderated study reports, an Enterprise add-on, are ranked by how many people expressed each one. Ask AI, which its pricing page lists as Enterprise only, can return counts of how often a topic came up. We found no score that combines how bad an issue is with how many people hit it.

Goal-based prototype tests report a success rate for each study, and tree tests, which are Enterprise only, report success rate and how many people went straight to an answer without backtracking. The Analytics board, for admins on Enterprise plans, tracks recruitment and panel health month by month. We found no engagement or success score for a whole program and no predicted rating.

The Analytics board is for admins on Enterprise plans and has fixed tabs for recruitment, panel health, who reads your research, and seat use, with one filter bar that carries across the tabs and CSV or PNG export. Other plans keep an older Reporting page. Insights, reels, highlights, survey results, and AI-moderated study reports can be shared by link. We found no boards you build yourself from charts.

Its Slack link, on both plans, posts study activity such as responses, closures, and transcript availability to a channel, and a FigJam widget pulls highlights, interviews, and reels into a board. We found no built-in Jira or Linear link on its integrations page or in its help center. Its help center says its Zapier app has no triggers, meaning it cannot start an automation from Great Question events, and is Enterprise only, though its integrations page says the app can pass study data to other tools. Its workflow page shows an AI tool connected to its MCP, which is Enterprise only, attaching a transcript to a Jira or Linear ticket.

Great Question says an AI tool you connect through its MCP can design a study, recruit from your panel, schedule sessions, analyze transcripts, and write up findings, and that an agent with its own token can do this unattended. That is your own AI tool doing the work, and its help center says an AI tool cannot start the study, so a person does that in the app. We found no agent built into Great Question that carries a project from setup through recruiting and reporting. The MCP comes with Enterprise plans.

Great Question has separate controls rather than one setting for an agent. Admins can switch AI auto-highlights and auto-tags on or off on their own, set a workspace-wide policy for automatic session completion and incentive sending (its two strictest states need a plan with advanced permissions), and, on Enterprise plans, turn the MCP on or off for the workspace. Admins can also require a written rule to be read before chosen tools run, which steers an AI tool rather than switching a capability off. We found no setting that turns an agent’s capabilities on or off one at a time.

Great Question’s Slack integration can post study activity to a channel as a daily digest, and its AI writes a study summary on its own once a study has enough completed interviews. Its published recipes show how to schedule your own AI tool, using an agent token, to write a daily interview summary. We found no daily or weekly briefing written by an agent inside Great Question, though an older blog post describes a weekly email of account activity.

Admins can require review before a study is funded or activated, and screeners hold qualified people for your approval by default. Its help center says an AI tool connected through its MCP can send screener invitations, and admins can require the tool to read a rule first, which is an instruction the tool follows rather than a person approving. We found no queue for approving what an AI tool does, or individual messages to participants.

Great Question says, in an answer about tags on one of its comparison pages, that its AI learns from your accept and reject patterns over time. Its Skills for connected AI tools (Enterprise) are instructions your admins write by hand, and we found no page saying notes you leave on its work, or your chats, become lasting memory.

Great Question says Claude, ChatGPT, Cursor, Gemini, and Copilot can search its research and also create studies, manage candidates and send screener invitations, within each person’s permissions. It says every call is audit-logged, and an admin setting turns the connector on or off for the whole workspace. Its help center says a person starts a created study in the app. It comes with Enterprise plans.

We found no way to ship units to participants or track them. Great Question’s own concept testing roundup lists in-home physical product testing among the things it does not do, and its incentives guide leaves swag and physical gifts for you to send outside the platform.

We found no device list in Great Question’s targeting and no fields for model or software version. Screeners can qualify people on any question you ask, and screener answers can be saved as attributes you filter on later, so you can screen on the device people say they use.

We found no tools for running a product trial in people’s homes and no way to get a product into someone’s home. Its release notes say interviews can take place at an address the participant gives, but those are sessions your team attends, and its Field Study template page says its platform does not support that method.

You can upload an NDA as a custom consent form that participants sign before they take part, and signing can be a required step before booking. Each signed copy is kept on the participant’s profile and in a bulk export from the study’s participant list. Custom consent is an Enterprise feature.

Ask AI can compare feedback across time periods, such as how sentiment about onboarding has changed, and surveys can be repeated to track feedback over time. Ask AI is Enterprise only. We found no view that follows how people’s use of a product changes over weeks.

We found no way to ship units to participants. Great Question says its concealed identity studies suit testing products you have not announced, over video interviews with outside participants, and an NDA can be signed first. Both are Enterprise features.

We found no page where its own team plans, recruits for or runs a study for you; outside recruiting is done by the marketplaces it connects to. Enterprise plans list a dedicated customer success manager and custom onboarding, its terms say consulting and training can be bought separately, and its help center says interviews are run by a moderator on your own team.

We found no shipping, tracking, or return handling. Great Question’s own concept testing guide lists in-home physical product testing among the things it does not do, and its help center says swag and other physical rewards are handled by you, outside the platform.

We found no managed project to hand over, and what you build yourself is yours. Its terms say you own your content and can ask for it within a set period after an agreement ends, and admins and creators can export candidate lists to CSV where export is switched on. Its external recruitment article says people recruited through outside marketplaces stay with that study and are not added to your candidates.

Its help center has guides for single sign-on, which lets people log in with their company account, through Okta and Azure AD using SAML, and lists Google sign-in and OpenID Connect as other login options. It also offers SCIM 2.0, which adds and removes users automatically and can map groups to roles and teams once its support team enables grouping. It says SAML and SCIM are for Enterprise plans, and SCIM is turned on by request.

Great Question has Admin, Creator, and Observer roles, plus settings for who can create studies, approve funding, and see participant details. Its pricing page lists granular access control and audit logs as Enterprise only, and teams that keep studies and candidates apart are an Enterprise feature. Great Question says every governance action, login event, and API call is recorded and can be exported. We found no help article on reading that log, only an audit trail for data retention rules.

Admins choose which roles can see candidate details, and people without that access see emails and phone numbers masked in the app and in exports. Great Question also hides these details in Slack previews by default and has a switch to hide them from AI tools connected to it. It sets this by role across the workspace, with Enterprise teams narrowing who sees which candidates, and we found no setting for a single study. Its Enterprise page lists PII visibility by role and its pricing page lists data obfuscation as Enterprise features, though the help article for these settings names no plan.

Great Question has a REST API, with tokens on paid plans, for studies, candidates, interviews, surveys, and transcripts, plus webhooks for a few events that its developer hub says its support team sets up. Its pricing and integrations pages list many native integrations, including Salesforce, Snowflake, Qualtrics, and Databricks on Enterprise, plus Zoom, Google, Microsoft, Figma, and Slack. We found no native Jira, Linear, or GitHub connector.