Instead of Q Research Software
Stop renting Q Research Software. Own your survey analysis.
We map your Q exports and build the survey workflow around your team. Your questions, your review rules, your system to keep.
Q lists US$3,259 per standard user per year and US$9,777 per transferable licence per year.
- check_circleYour data in a database you own
- check_circleOpen source, no lock-in
- check_circleBuilt and run by Enterprise DNA
The annual research software bill
Pay for the analysis your team actually needs
Q Research Software charges annually for its analyst licences. It also offers a broad statistical and reporting toolkit. Start by separating the repeatable survey work you need every week from the specialist methods a particular project needs.
A licence for each analyst
The standard licence is US$3,259 per user, billed annually, for one computer. Review the seats used for recurring summaries and review papers.
Sharing a licence has its own terms
The transferable licence is US$9,777 annually. Q describes installation on multiple computers with one user at a time.
An annual commitment
The published licences are billed by the year. Owning the workflow lets you retain your research process independently of an analyst licence renewal.
Specialist methods beside routine work
Q offers advanced analysis as well as everyday survey summaries. Your version starts with weighted counts, percentages, means and comparisons between survey waves.
Reporting tied to the analysis workspace
Q supports Office and PDF exports. Here, an internal review paper keeps the source wave, analysis choices and saved result together in your business brand.
Training and support in the package
Q includes upgrades, technical support and online training with its licences. With Enterprise DNA, support is agreed around your own research workflow and ongoing requirements.
Your research process, in your hands
From a survey export to a finding you can inspect
01 / BRING YOUR HISTORY
Reconcile every wave before analysis
Import the response records you choose to export from Q. Keep the original evidence beside the fields used for analysis.
- check Match the actual export headings
- check Retain the source date and original responses
- check Reject duplicate respondent identifiers and invalid weights
- check Check imported counts before accepting a wave
02 / ASK THE NEXT QUESTION
Read weighted results with their bases
Compare categories, segments and numeric responses while keeping the denominator visible.
- check Show raw and weighted response bases
- check Exclude missing answers from the relevant estimate
- check Review how concentrated weights affect the effective base
- check Flag groups below your chosen minimum base
03 / KEEP THE REASON
Know when a finding needs to be rerun
Save the analysis choices and result. When exclusions or study rules change, the earlier result is marked stale.
- check Keep the reason for each exclusion
- check Restore a respondent without losing the review history
- check Track which saved findings use an older revision
- check Refuse a fresh report draft from an out-of-date result
04 / RUN THE RESEARCH WEEK
Bring evidence gaps into the Monday review
Combine wave health, overdue research reviews and stale findings in one working pack.
- check Name the research owner and study purpose
- check Review accuracy and retention dates
- check Record the operator and reason behind changes
- check Generate study review papers in your business brand
Make it yours
Design your own Q Research Software replacement
Everything starts from the open-source base. Then it gets your name, the parts you run, your rules and your data from Q Research Software. Try it here, and we build the real one.
2. What it runs
3. Make it fit
4. Your colour
Answered from your own database
Good morning. Here is what needs you today.
We build it from the open-source base, bring your Q Research Software 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 Survey Tabulation for Claude Code. It runs in Claude Code inside the Claude app, so it feels like any chat you already use.
Survey Tabulation for Claude Code
Connected to your own database
How does channel preference differ between North and South?
North
- Category
- Online
- Percent
- 75
- Base
- 8
- Weighted base
- 8
- Missing
- 0
- Status
- descriptive
North
- Category
- Store
- Percent
- 25
- Base
- 8
- Weighted base
- 8
- Missing
- 0
- Status
- descriptive
South
- Category
- Online
- Percent
- 62.5
- Base
- 8
- Weighted base
- 16
- Missing
- 0
- Status
- descriptive
South
- Category
- Store
- Percent
- 37.5
- Base
- 8
- Weighted base
- 16
- Missing
- 0
- Status
- descriptive
| Group | Category | Percent | Base | Weighted base | Missing | Status |
|---|---|---|---|---|---|---|
| North | Online | 75 | 8 | 8 | 0 | descriptive |
| North | Store | 25 | 8 | 8 | 0 | descriptive |
| South | Online | 62.5 | 8 | 16 | 0 | descriptive |
| South | Store | 37.5 | 8 | 16 | 0 | descriptive |
Ask it anything
Ten questions your own research desk can answer
These are working questions for the free version. Q also supports custom analysis. The difference offered here is ownership of your records and review process.
Switching
How to switch from Q Research Software
A move usually involves exporting response records, mapping your fields and rules, checking the imported data, and comparing results before you retire Q.
- 1
Export response records
Export response-level data from Q, including category labels where available. Q documents CSV export for this purpose. The export will not bring across every project formula, report layout or model, so list any of those you still rely on. Check with Q Research Software if you are unsure which export options your account supports.
- 2
Map your study fields
Match the headings in your export to the questions and variables you use in your studies. Include the weight field, categories and any exclusions or study rules that affect your results. Decide which waves and source records to bring across. Keep a record of the definitions you use so you can compare like with like.
- 3
Preview, then load
Start with the import preview before loading records. Review how the source headings have been matched and correct the mapping if needed. Load the data only after the preview makes sense and the source counts are understood. This gives you a chance to catch a mistaken field match before it affects your working data.
- 4
Check and compare results
Review anything the import flags, then reconcile respondent counts, missing answers and weights against the Q source. Compare accepted examples using the same inputs, exclusions, categories and calculation rules. Keep both systems running side by side for a short period, and retain Q until the required analyses and source reconciliation are accepted.
- 5
Switch off Q
Once you have accepted the comparisons and confirmed that the records and rules you need are in the new system, you can stop using Q for those studies. Keep any Q project material you still need for specialist modelling, reporting or other work that the new system does not cover. Do not retire Q before you have checked those requirements.
Where the real effort goes
The main work is usually mapping your own question fields, weights, exclusions and calculation rules, then deciding how much history to bring across. A response export does not carry every formula, report layout or model, so those needs must be reviewed separately. If you have Enterprise DNA run the system, they map your studies and reporting requirements as part of the setup.
Not ready for a call?
Get your Q Research Software switch plan by email
We will send you the step-by-step plan for moving your business off Q Research Software, what the move really involves, and how we would do it for you.
Sent. Check your inbox.
Your Q Research Software switch plan is on its way.
Rather talk it through? Book a call arrow_forwardThree ways to own it
Do it yourself, have it customised, or have it run for you
Open source
Do it yourself
Free, open source
- 1 Clone the repo and run npm install, then npm run demo
- 2 Open it in Claude Code, Codex, OpenCode or Cursor
- 3 Export your Q responses to CSV, map the headings and test the import
- 4 Compare a known result before moving a study
Built around your business
We customise it
One setup fee, then a retainer
- check Your questions, weight rules and minimum reporting bases
- check Your Q exports mapped and reconciled against source counts
- check Your research papers and review process
- check A web workspace or a different technology stack where your team needs it
Omni by Enterprise DNA
We run it for you
One setup fee, then a retainer
- check Installed with access and backups configured
- check Your sources connected to the agreed research process
- check Review packs prepared and the system maintained
- check Operated through Omni by Enterprise DNA beside the rest of your business
Questions
Instead of Q Research Software, answered
Does this replace every part of Q Research Software? expand_more
The free version covers descriptive survey tabulation and the records behind it. Q also supplies specialist modelling and reporting features. We review the studies you run, agree the methods and reporting your version needs, and reconcile known results before a switch. Displayr is another option for teams evaluating a hosted research workspace.
Can we bring our existing Q studies across? expand_more
Q documents exporting response-level data to CSV, including an export with category labels. We map the actual headings and check respondent counts, missing answers and weights. A response export does not carry every project formula, report layout or model. Those requirements are scoped as part of your version.
Will the weighted results match our current reports? expand_more
They match only when the inputs, exclusions, categories and calculation rules match. The free version calculates descriptive weighted shares and means, shows the response base and flags small groups. We compare accepted examples before changing the research process. It does not present a difference as statistically significant.
How are respondent records and old findings handled? expand_more
You control the database and who can access it. Source records, review notes and saved findings stay together. Changed exclusions or study rules mark earlier findings stale. Accuracy and retention reminders identify missing review evidence. Small-base warnings are internal review aids, not a guarantee that a report is safe to disclose.
What does Enterprise DNA charge? expand_more
We agree one setup fee, then a retainer for ongoing work or operation. The scope follows your studies, data migration, research methods and reporting needs. There is no fixed Enterprise DNA price on this page.
Bring Sam one study and your Q renewal
In a 30-minute call, show Sam the survey work your team repeats, a report you trust and the parts you want to own. We will identify the first workflow to build and the evidence needed before switching.
Survey Tabulation for Claude Code is free and open source, published by Enterprise DNA.
Done paying for Q Research Software?
Get your version built