Question 1

Where does Survicate store and host data?

Accepted Answer

Survicate stores data in secure, GDPR-compliant data centers located in the European Union. All data is encrypted both in transit and at rest. Survicate is also ISO/IEC 27001 certified, and your data is never used to train AI models. More info on our security page.

Question 2

Can Survicate replace Dovetail?

Accepted Answer

Yes, and it covers the gaps Dovetail doesn't.

Dovetail is a research repository for analysis only. To use it, you still need a separate platform to collect the feedback. Survicate runs the surveys (web, in-app, mobile, email, and link) and the analysis (Research Hub, AI-drafted reports, dashboards, 15+ feedback source integrations) in one place.

For most teams, that means replacing two tools with one at roughly a third of the median annual cost.

Question 3

We already use Dovetail for interview analysis. Can we use both?

Accepted Answer

You can, but most teams find they don't need to.

Survicate Research Hub handles interview transcripts (with auto-transcription and translation), survey responses, support tickets, app reviews, sales calls from Gong, and 10+ other sources, all in scoped research projects with AI-drafted reports backed by source quotes.

If your team has deep tagging workflows in Dovetail you want to keep, both tools can run in parallel. But for most use cases, Research Hub replaces both the survey tool and the repository.

Question 4

How is Research Hub different from just using ChatGPT or NotebookLM?

Accepted Answer

Generic LLMs weren't built for research synthesis, and three problems show up fast.

The "lost in the middle" effect. Past ~50k tokens (roughly 1,000–2,000 feedback rows), LLMs systematically underweight content in the middle of their context window. Even when you upload data in chunks, the model concatenates them and the middle still gets buried. Research Hub chunks and processes data before passing it to the model, so every data point is evaluated, not just the ones at the edges.

No source traceability. When a stakeholder asks "who said that?", a general-purpose LLM can't point you to the original quote. Research Hub links every conclusion to the exact feedback it's drawn from.

No memory between sessions. Ask ChatGPT the same question twice, get different themes, different counts. There's no taxonomy that holds across sessions, sources, or teammates. Research Hub maintains a persistent layer of company knowledge, themes, and insights so findings stay consistent and can be trended over time.

Read the full breakdown →

Question 5

Will Survicate's AI replace our researchers?

Accepted Answer

No. Research Hub is built around researcher control, not researcher replacement.

The researcher scopes the project, picks the sources, sets noise filters, and verifies every claim. AI handles the synthesis grunt work: cross-referencing sources, finding supporting quotes, drafting the document structure. The thinking stays with you. The tool just removes the manual work that gets in the way of it.

Question 6

How long does it take to set up Survicate?

Accepted Answer

Most teams launch their first survey the same day they sign up. Website surveys need only a code snippet or Google Tag Manager, mobile apps use a native SDK, and email or link surveys need no technical setup at all. You can start from ready-made NPS, CSAT, or product feedback templates and go live in minutes.

Setting up Research Hub is just as fast: connect your feedback sources (Intercom, Zendesk, Gong, app reviews, etc.), let the company knowledge layer auto-configure from your website, and run your first project.

Question 7

How much does Survicate cost, and how does it compare to Dovetail (data points included)?

Accepted Answer

Dovetail goes from 0 to 100: Free, or custom Enterprise you know nothing about unless you contact sales. There's nothing in between.

Survicate's plans scale transparently, with response and data point volumes published on every tier. You start with 100 data points for research synthesis on the Starter plan and can go up to a custom pool of responses on higher-tier plans.

According to Vendr's public buyer data, the median annual contract is ~$22,250 for Dovetail and ~$7,888 for Survicate.

Question 8

What feedback sources can I connect to Research Hub?

Accepted Answer

Research Hub connects to 15+ feedback sources, including Intercom, Zendesk, HubSpot, Gong, Slack, App Store, Google Play, Google Reviews, tl;dv, and LiveChat. You can also upload CSV files of past feedback, customer call recordings, or video files for Survicate to transcribe, translate, and automatically categorize.

And every survey you run in Survicate (web, in-app, mobile, email, link, Intercom, Braze) flows into Research Hub automatically. No manual exports or re-uploads.

	Dovetail	Survicate
Built-in multichannel surveys
Research projects	Cluttered by CSV imports
Automated company context	Manual entry, text only
Every claim linked to a source quote
Native feedback sources	~12	15+
CSV imports without forced field mapping
Cross-survey dashboards and full-size charts	Limited
Dedicated customer success and human support
Median annual cost (Vendr)	~$22k	~$8k

Dovetail alternative that's more than just a repository

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How Survicate compares

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