Enterprise DNA

Instead of Great Question

Stop renting Great Question for your panel. Own your research system.

We build your version around your participants, consent process and study routines. We bring your Great Question panel across, reconcile its history and run the system for you.

Great Question lists self-serve at US$129 per seat per month or US$1,290 per seat per year. Enterprise pricing is quoted privately on annual plans.

Get your version built See it working
  • check_circleYour data in a database you own
  • check_circleOpen source, no lock-in
  • check_circleBuilt and run by Enterprise DNA

What the subscription covers

Decide which parts of Great Question you actually need

Its pricing combines research capabilities and operating records. If your priority is managing your own panel, start with the people, permissions and study work you need to keep.

Users

Researcher seats

Self-serve is US$129 per seat per month, with a five-seat maximum. Observer access is free.

Calendar

An annual enterprise commitment

Enterprise plans are custom and annual. Their quote depends on the modules, panel size and research workflows you choose.

Database

The participant directory

The research customer database covers panel records, filtering and eligibility. Your own database can hold those operating records.

BarChart3

Participant capacity

The published comparison lists a limited self-serve participant allowance and custom enterprise capacity. Decide the panel size you actually need.

ShieldCheck

Governance controls

Consent and retention policies are part of the platform comparison. Your version uses your notice evidence, review dates and agreed rules.

Globe

External recruitment

External participant sourcing and incentives are charged separately. This free base manages your own panel. Keep specialist recruitment services when you need their audiences.

Your operation, your rules

The research week in one database

Panel

Know who is ready

Ask about the whole panel before selecting the next study group.

  • check See each person’s cohort and contact history
  • check Hold back unknown or withdrawn consent
  • check Pause people who completed a study recently
  • check Compare cohort size with the people actually eligible

Studies

Fill the right places

Set a purpose, owner and interview target for each cohort.

  • check Count filled and missing interview places
  • check Prevent bookings above the agreed target
  • check Catch overlapping researcher or participant bookings
  • check Compare researcher workload with outstanding study gaps

Evidence

Keep permission attached to the work

Record supplied consent and attendance evidence alongside each participation.

  • check Match panel permission to the study consent version
  • check Cancel active participation after a withdrawal
  • check Flag missing notices and retention-purpose reviews
  • check Read who changed a record and the evidence they supplied

Follow-up

Finish the study properly

Bring overdue work and incentive records into the same weekly review.

  • check Find interviews with no recorded outcome
  • check Compare completions and no-shows across studies
  • check Reconcile incentives paid by your provider
  • check Prepare branded study briefs and private invitation drafts

Make it yours

Design your own Great Question replacement

Everything starts from the open-source base. Then it gets your name, the parts you run, your rules and your data from Great Question. Try it here, and we build the real one.

2. What it runs

3. Make it fit

4. Your colour

Your business · your Great Question replacement Your version
YB Your business

auto_awesome

Answered from your own database

Build my version

We build it from the open-source base, bring your Great Question data across and run it for you.

What it looks like

Ask it like you would ask a colleague

Real answers from the demo data that ships with Research Panel for Claude Code. It runs in Claude Code inside the Claude app, so it feels like any chat you already use.

forum

Research Panel for Claude Code

Connected to your own database

Which studies still need interview participants?

ST01

Segment
Operator
Target
2
Filled
1
Completed
1
Gap
1
Due_on
2026-11-06

ST01

Segment
Owner
Target
3
Filled
1
Completed
0
Gap
2
Due_on
2026-11-06

ST02

Segment
Operator
Target
2
Filled
1
Completed
0
Gap
1
Due_on
2026-10-28

Ask it anything

Ten questions across your research operation

These questions run against the working demo. Great Question has its own reporting and conversational tools. The difference here is owning the records and changing the rules.

chat_bubble Which studies still need owners or operators to fill their interview places?
chat_bubble Who is ready for another research invitation today?
chat_bubble Who has been contacted too often or completed a study too recently?
chat_bubble Which panel records need consent or retention evidence reviewed?
chat_bubble Which booked interviews have already passed without an outcome?
chat_bubble Which completed interviews still have an unsettled incentive record?
chat_bubble Which cohorts have plenty of names but few eligible people?
chat_bubble Which studies have recorded no-shows?
chat_bubble How many interviews and minutes is each researcher carrying?
chat_bubble Who changed a participant record and what evidence did they record?

Switching

How to switch from Great Question

A prepared panel can be loaded in one import, while field mapping, consent review and historical reconciliation determine the work around it.

  1. 1

    Export your panel

    Export the full Candidates list from Great Question, with the name, email and cohort fields you need visible and permission to view personal information. Candidate identifiers are included. The panel export does not include study participation history, tags or saved segment membership. Check with Great Question what your account allows you to export for that separate history.

  2. 2

    Map and load the records

    Map the exported columns to the fields you will use in your new panel, then run the import preview before loading the records. Review the preview and correct the mapping if needed. Once it looks right, import the panel. The import preserves original columns, and a malformed batch rolls back rather than leaving a partial import.

  3. 3

    Review the flagged records

    Check the import results and compare the record counts with your Great Question export. Imported people stay blocked until consent and history are reviewed. Reconcile the separate study participation history, then review consent evidence, withdrawals and any records that need attention. Do not treat missing consent or participation information as confirmed. Resolve the gaps before inviting people from the new panel.

  4. 4

    Run both systems briefly

    Keep Great Question available while you use the new panel for a short period. Compare the records and checks you rely on, including participant eligibility, consent evidence and study history. Make sure operators know which system to update so you do not create conflicting records. Use any differences you find to correct the mapping, history or agreed rules before moving fully.

  5. 5

    Switch off Great Question

    When the new panel has the records and history you need, its consent and operating rules have been checked, and your team is comfortable using it, stop using Great Question for panel operations. Keep any exports you still need under your approved access and retention process. Confirm the move with the people responsible for your account before ending or changing it.

construction

Where the real effort goes

The import is the straightforward part. Most of the work is mapping your own fields and rules, deciding which history to bring, and reconciling that history with consent evidence before people can be contacted. The panel export omits study participation history, tags and saved segments, so account exports and review may take additional work. If Enterprise DNA runs the setup, they handle the mapping and migration with you.

Not ready for a call?

Get your Great Question switch plan by email

We will send you the step-by-step plan for moving your business off Great Question, what the move really involves, and how we would do it for you.

One email with your plan. No spam, and you can unsubscribe any time.

Three ways to own it

Do it yourself, customise it, or have us run it

Open source

Do it yourself

Free and open source

  1. 1 Clone the repo and run npm install, then npm run demo
  2. 2 Open it in Claude Code, Codex, OpenCode or Cursor
  3. 3 Import your Great Question CSV and reconcile consent and participation history
  4. 4 Use your own database and adapt the commands to your research policy
Get it on GitHub

Built around your business

We customise it

One setup fee, then a retainer

  • check Your participant fields, cohorts and consent process
  • check Your Great Question exports mapped and checked
  • check A web front end or a different stack when you need one
  • check Your study briefs and review routines
Get your version built

Omni by Enterprise DNA

We run it for you

One setup fee, then a monthly retainer

  • check Installed and operated through Omni by Enterprise DNA
  • check Your records brought across with history reconciliation
  • check Calendar and business-system connections built to the agreed scope
  • check Ongoing backups, maintenance and improvements
Book a call with Sam

Questions

Instead of Great Question, answered

Can we keep our Great Question participants and their history? expand_more

Yes. Export the full Candidates list with the fields you need visible and permission to view personal information. The panel export includes candidate identifiers but omits study participation history, tags and saved segment membership. We map the panel, collect the separate history and check the counts. Imported people stay blocked until consent and history are reviewed.

Will it run our interviews, surveys and external recruitment? expand_more

The free version manages your own panel, study places, bookings and evidence. It records interviews carried out elsewhere and incentives paid by your provider. Enterprise DNA can add a participant website, calendar connections and agreed research services to your version. Specialist audiences and research recording services can stay with the providers you choose.

How do we stop contacting people too often or after they withdraw? expand_more

The supplied rules check consent, recent contacts and completed studies before new invitations are recorded. A withdrawal cancels active participation. Your version uses your agreed intervals and evidence requirements. These checks support the operator’s process and do not certify legal compliance.

Does Great Question already work with conversational assistants? expand_more

Yes. Great Question offers conversational access as well as its own research workflow. This choice is about ownership and control of the operating database. The free base includes editable rules, private reports and a complete export of your records.

What does Enterprise DNA charge, and who owns the result? expand_more

We agree the setup fee and ongoing retainer around your panel, migration and operating needs. You own the database and can export your records. The free software is open source, with hosting and assistant use arranged separately. Bring your current bill and one study to the call so we can scope your version.

Bring Sam one study and your current bill

In a 30-minute call, show Sam how you select participants, record consent and finish interviews. We will map the first version around that work and explain what it takes to build and run it.

Book 30 minutes with Sam Get the free version

Research Panel for Claude Code is free and open source, published by Enterprise DNA.

Done paying for Great Question?

Get your version built