Research operations

The UX research security and governance guide

Everything you need to get a research platform past IT, legal, and procurement, without the three-week back-and-forth. Includes a free interactive toolkit to evaluate any vendor.

Most research tool purchases don't stall on price. They stall on the security review.

You find the platform, you run the trial, the team loves it, and then it hits a wall: IT wants a SOC 2 report, legal wants to know where customer data is stored, and procurement sends over a 90-question security questionnaire that nobody on the research team knows how to answer. Weeks go by. The momentum you built evaporates.

This guide walks through what IT and legal actually care about, in plain language, so you can choose a tool that won't blow up in the review and defend that choice when the questionnaire lands. It's written for the person who owns the tool decision but doesn't own the security policy, which is most researchers and research ops leads.

🛡️
Free: the Great Question Security Evaluation ToolkitA deep-research prompt, a fillable vendor scorecard, and the exact questions to ask. Jump in below.
Get the toolkit ↓
WHAT'S INSIDE
  1. Why research data is a security problem
  2. The questions to ask before you trial anything
  3. Authentication and access control
  4. Compliance, in plain language
  5. Participant PII and privacy
  6. Audit trails and data retention
  7. Getting through procurement
  8. The Great Question Security Evaluation Toolkit

1. Why research data is a security problem

Research tools quietly hold some of the most sensitive data your company owns. Look at what's actually sitting in a typical research platform:

  • Customer names, email addresses, and job titles
  • Recorded video and audio of real people
  • Screen recordings that can capture anything on a participant's screen
  • Verbatim opinions, sometimes about competitors, sometimes about your own company's failures
  • Incentive payment records, which means financial and tax data

Any one of these would trigger a security review on its own. A research platform holds all of them in one place, which is exactly why IT and legal care so much about which tool you pick.

There's a second reason researchers underestimate this. The data isn't just yours. It belongs to the participants who trusted you with it. If a participant tells you something candid in an interview and that recording leaks, or gets used in a way they didn't agree to, that's a breach of their trust and very possibly a breach of law. Getting security right is part of doing research ethically, not just a box IT makes you tick.

So the goal here isn't to turn you into a security engineer. It's to help you choose a tool that won't blow up in the review, and to give you the language to defend that choice.

Why this data needs to live in one governed place

It's fair for IT to ask why a research team can't just use the inbox, spreadsheets, and shared drives it already has. The answer is that participant data isn't a static archive, it actively drives the work. It's who you recruit, who you follow up with, the segments you target, and the evidence behind every product decision. Spreading it across personal inboxes and ad-hoc folders is exactly how it ends up ungoverned: no access controls, no audit trail, and no way to honor a deletion request when it comes.

A dedicated, properly secured research platform isn't a wider attack surface than the status quo, it's a narrower one. It replaces a dozen uncontrolled copies with a single system where permissions, retention, and logging actually apply, and where access can be switched off the moment someone leaves. That's the case to make when IT asks why the tool, and the integration behind it, is worth approving.

The full 20 questions, formatted to sendPlus a prompt that researches a vendor's security for you. It's all in the toolkit.
Open the toolkit ↓

2. The questions to ask before you trial anything

The best time to ask a vendor about security is before you start a trial, not after. Asking up front does two things: it filters out tools that will never pass your review, and it gets you written answers to hand to IT later. There are five areas worth covering.

Data ownership and portability. Do you own everything you put in, including recordings and transcripts? Can you export and delete all of it on demand? And do they use your data to train AI models? You want a clear no, or at least an opt-out.

Authentication and access. Do they support SSO via your identity provider, how granular do the permissions get, and can you restrict who exports or downloads recordings?

Compliance and certifications. Are they SOC 2 Type II certified, and will they share the actual report? Are they GDPR compliant and willing to sign a DPA? Where is your data physically stored?

Sub-processors. Who else touches your data (hosting, AI, transcription, payments) and where are they based?

Incident handling. What's their breach notification timeline, and do they run regular penetration tests?

If a vendor can't answer most of these, or gets cagey about the SOC 2 report, treat that as the answer.

3. Authentication and access control

These can quickly become dealbreakers during the review process. How users login and what they can do an access almost always needs to align with your internal access protocol. An employee who is unable to export a list of customers from your CSM, shouldn't be able to do so in your research platform.

Single sign-on (SSO)

SSO lets people log in through your company's identity provider instead of a separate username and password. It matters for security because when someone leaves the company, IT switches off their access in one place and they instantly lose access to your research data too. Without SSO, an ex-employee's login can sit active for months. Most security teams now treat SSO as a hard requirement, so check it's supported on a plan you'd actually buy, not locked behind a custom enterprise tier you can't reach.

Role-based permissions

The question to ask is how granular the controls get. Can you say 'this contractor can see this one study but nothing else'? Can you stop most of the company from viewing raw recordings while still letting them read the polished insights? A repository where everyone sees everything is a leak waiting to happen, especially once PMs, designers, and execs all have logins.

Export and download controls

The riskiest moment for research data is when it leaves the platform. Once a recording is downloaded to someone's laptop, you've lost control of it. Look for the ability to restrict who can export or download, so sensitive recordings stay inside the tool where your permissions and audit trail still apply.

4. Compliance, in plain language

At least one of these terms will come up in your security review. Here's what to know so you know what questions to ask. Tap each one to expand.

SOC 2 Type II
An independent audit of how a company handles data security over a period of time (usually a year), not just at a single moment. Type I is a snapshot; Type II proves the controls actually held up over months. When a vendor says they're 'SOC 2 compliant,' ask which type and ask to see the current report. The report is the proof. A badge on a website is not.
GDPR
The EU's data protection law. If you have any customers or participants in Europe, your research tool needs to handle their data lawfully. The practical things to check: will the vendor sign a Data Processing Agreement (DPA), can participants request their data be deleted, and do they offer EU data residency if you need it. GDPR also shapes how you get consent from participants, which is worth getting right regardless of the tool.
Data residency
Where your data physically lives. Some companies, especially in Europe or in regulated industries, are required to keep customer data within a specific region. If that's you, confirm the vendor can store your data in the right region before you trial, because this is rarely something they can change later.
HIPAA
Only relevant if you handle US health information. If you're in healthcare and your research touches anything resembling patient data, you'll need a vendor who will sign a Business Associate Agreement (BAA). Most research tools won't, so flag this early if it applies to you.

You don't need to memorize these. You need to recognize them when IT raises them, and know which ones actually apply to your situation so you're not chasing certifications you'll never use.

5. Participant PII and privacy

Personally identifiable information (PII) is anything that identifies a real person: name, email, face on a recording, voice. Research is full of it, and most teams handle it more loosely than they'd admit.

The core risk is over-exposure. You run a study, and suddenly the recording, with the participant's face and full name, is visible to forty stakeholders who have no reason to know who that person is. The participant never agreed to that. It's a privacy problem and, in regulated industries, a compliance one.

Collect only what you need

If a study doesn't need participants' real names attached to their answers, don't attach them. Less PII in the tool means less to protect.

Separate the insight from the identity

The thing stakeholders usually need is the finding, not the person. Look for tools that let you share insights, highlights, and themes without exposing the underlying participant identity.

Restrict participant identity with PII masking

Some platforms let you mask participant identities from the people reviewing results, so personal details stay visible only to the team members who genuinely need them. This matters a lot in finance, healthcare, and any research touching a vulnerable group, or any time you're researching your own employees and anonymity is the whole point. If your research regularly touches sensitive topics, this should be near the top of your requirements list.

Get consent that matches reality

Make sure participants actually agree to how their data will be used and shared, including recording and storage. A good tool makes consent part of the flow instead of something you bolt on.

Privacy isn't only a legal safeguard. It's what makes participants honest with you. People share more when they trust the data won't be used against them.

6. Audit trails and data retention

Two less glamorous topics that security teams always ask about, and that you'll be glad to have answers for.

Audit trails

An audit trail is a record of who did what: who viewed a recording, who exported an insight, who shared a study externally. You want this for two reasons. First, if something does leak, you can trace it. Second, just knowing actions are logged changes behavior, so people are more careful with sensitive data. Ask whether the platform logs access and exports, and whether admins can review that log.

Data retention

This is about how long data sticks around and what happens when it should go. Old recordings you've forgotten about are pure risk: they hold PII, they serve no purpose, and they're still a liability if breached. Good tools let you set retention rules, so data is automatically deleted after a set period, and make it easy to delete specific participants' data on request (which GDPR may require). Ask what the default retention is, whether you can configure it, and how participant deletion requests are handled.

Neither of these will be the headline of your tool decision. But when IT asks 'can you tell me who accessed this recording and how long we keep it,' having a clean answer is the difference between a fast approval and a stalled one.

7. Getting through procurement

You've chosen a tool and it's passed the security review. Procurement is the last stretch, and a little prep saves weeks.

Before the review, get the vendor questionnaire answered in writing, the SOC 2 Type II report into IT's hands, and the DPA in front of legal. Confirm SSO is available on the plan you actually intend to buy, not a tier above it. Raise anything industry-specific, like a HIPAA BAA, early, because those take the longest to clear.

During negotiation, confirm SSO and admin controls are included rather than a paid add-on you'll discover later, that the contract covers the team size you're growing into, and what happens to your data when the contract ends. Check the renewal terms while you're at it.

One thing worth remembering on cost: the cheapest tool on paper is often the most expensive once you add the three or four other tools it forces you to buy to fill its gaps. Compare the full job, recruiting participants, running studies, and storing insights, not the line-item price of one piece of it.

How Great Question handles data & governance

Data governance built for the AI & MCP era

Connecting research data to AI tools shouldn't widen your attack surface. Great Question's MCP is designed so your existing security model carries straight through to AI.

Credentials never touch AI tools

OAuth 2.0 authorization. The MCP connects without ever exposing your login to an AI client.

Your permissions follow you into AI

Role-based access applies automatically — the MCP only surfaces what each user is already authorized to see.

PII stays protected

Field-level visibility controls and PII obfuscation, with full audit logging of every data access.

Trusted & compliantSOC 2 Type IIGDPR compliantAES-256 at rest · TLS in transitHIPAA availableAccount data separation
FREE INTERACTIVE TOOLKIT

The Great Question Security Evaluation Toolkit

Everything above, turned into something you can use in a live vendor process. A deep-research prompt to investigate any platform, a fillable scorecard to compare them, and the exact questions to send.

Unlock the toolkit

Enter your email and we'll open the tools below and send you a copy to keep.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Get instant access

Your toolkit and the occasional research-ops resource. Unsubscribe anytime.

TOOL 1

The deep-research prompt

Paste this into ChatGPT, Claude, or Perplexity and swap in a vendor name. It investigates their public security posture, cites sources, scores readiness, and drafts the questions to send.

Copy and runCopy prompt
[VENDOR NAME] = the UX research platform you're evaluating. Act as a security analyst helping me evaluate [VENDOR NAME] for enterprise use as a UX research and customer insights platform. Research their public data security and governance posture and write me a structured report. For each item below, tell me what you can verify from public sources, quote or link the source, and flag anything you can't confirm as a question to ask their sales team: 1. SSO / SAML support and which identity providers 2. Role-based permissions and how granular they get 3. Export and download controls for recordings 4. SOC 2 Type II, and how recent the report is 5. GDPR compliance and willingness to sign a DPA 6. Data residency / choice of storage region 7. PII masking (restricting participant identity to authorized internal parties) 8. Audit logging of access and exports 9. Data retention controls and participant data deletion 10. Data ownership, and whether they train AI models on customer data Then give me: a readiness score out of 10, the top 3 gaps or risks, the exact follow-up questions to email the vendor, and a short comparison against [COMPETITOR A] and [COMPETITOR B].
Run it in:ChatGPTClaudePerplexity
TOOL 2

Fillable vendor scorecard

Mark each criterion Yes, Unclear, or No for the tool you're evaluating. Your score updates live. Print or save as PDF, then repeat for the next vendor.

Vendor
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Print / save as PDF
1. SSO / SAML via our identity provider
Okta, Azure AD, or Google login
2. Role-based permissions to the study level
Restrict who sees which research
3. Export & download controls for recordings
Keep sensitive data inside the tool
4. SOC 2 Type II report available
The current report itself
5. GDPR compliant and will sign a DPA
Required if you have EU participants
6. Data residency / choice of region
Store data where policy requires
7. Participant PII masking
Restrict who internally can see participant identity
8. Audit logging of access and exports
A record of who did what
9. Configurable retention + participant deletion
Auto-delete and honor deletion requests
10. Clear data ownership, no AI training
You can export and delete everything
0/ 10
High risk
TOOL 3

The 20 vendor questions

Send these to a vendor before you start a trial. Getting the answers in writing gives you what IT needs and filters out tools that will never pass review.

Send before you trialCopy all 20
Data ownership and portability
  1. Do we own all data we put into the platform, including recordings and transcripts?
  2. Can we export all of our data at any time, in a usable format?
  3. When we cancel, what happens to our data and how long before it's deleted?
  4. Do you use our customer data, recordings, or transcripts to train any AI models? Can we opt out?
Authentication and access
  1. Do you support SSO via SAML or our identity provider (Okta, Azure AD, Google)?
  2. Can we set role-based permissions, and how granular do they get?
  3. Can we restrict who can export or download recordings?
Compliance and certifications
  1. Are you SOC 2 Type II certified? Will you share the current report?
  2. Are you GDPR compliant, and will you sign a Data Processing Agreement (DPA)?
  3. Where is our data physically stored, and can we choose the region?
  4. Do you have other relevant certifications (e.g. HIPAA) if our industry needs them?
Sub-processors and incident handling
  1. Who are your sub-processors (hosting, AI, transcription, payments) and where are they based?
  2. How do you handle data sent to third-party AI services for analysis or transcription?
  3. What's your process and notification timeline if there's a data breach?
  4. Do you carry out regular penetration testing, and will you share a summary?
AI and data handling
  1. Do AI features and integrations (including any MCP or API access) enforce our existing role-based permissions, so AI only surfaces what each user is already authorized to see?
  2. Are AI-driven actions and data access captured in the same audit trail as the rest of the platform?
  3. Can we scope or restrict what AI features and integrations are able to access, per role or workspace?
  4. Is there human review of AI-generated insights, and how are inaccuracies caught and corrected?
  5. Can we turn AI features off entirely, at the organization level?

Evaluating Great Question?

Run the scorecard against us. Great Question is built to answer yes: SOC 2 Type II, GDPR-ready, granular role-based permissions, PII masking, and full audit logs, with an AI and MCP layer that inherits every one of those controls.

Book a demo →