Enterprise research runs on a platform nobody is replacing this quarter, and any tool that demands you leave it gets declined. Minds sits before the field platform: draft in Qualtrics, rehearse against a synthetic audience, fix the instrument, field as normal.
The insights team that runs its tracker in Qualtrics is not migrating. The instrument, the logic, the panel relationships and years of wave-on-wave comparability all live there, and a vendor whose pitch begins with "replace it" has already lost the meeting.
This workflow assumes you keep everything. Minds occupies the gap between drafting the questionnaire and paying to field it — the gap currently filled by a colleague reading the draft on a Friday afternoon.
You are not collecting data. You are checking that each item asks what you think it asks, of the segments you intend to compare.
Bring the draft in and ask a synthetic audience built to mirror your quotas to answer it — then, crucially, to say what they believed each question was asking. Items where the restatement drifts from your intent are the items that will produce data you cannot interpret.
The failures that surface are always the same family: an assumption the respondent does not share, a scale that leans, a concept in the client's vocabulary rather than the category's, two options that mean the same thing analytically, a screener that lets the wrong people through.
Synthetic respondents are not a sample. They do not establish incidence, they do not estimate prevalence, and nothing here belongs in a readout as a finding. Representativeness comes from your real panel and always did.
What the rehearsal buys is instrument quality — and instrument quality is the one thing that no amount of sample can fix after the fact.
Sample runs from a few dollars per complete for general consumer to thirty or more for specialist B2B. A single badly worded item on a two-hundred-complete study is a five-figure lesson learned after the data lands. The rehearsal costs a few minutes and can be repeated as many times as the draft needs.
Answer this draft questionnaire as the respondent in your profile. After each answer, state in one sentence what you believed the question was asking, and flag any item where none of the options matched the answer you actually wanted to give.
Frequently asked questions
Is there a Qualtrics integration?
Not a connector, and this workflow does not need one. Export or copy your draft instrument, bring it into Minds as a document, and keep fielding in Qualtrics exactly as you do now. Minds sits before the platform rather than inside it.
What do I actually upload?
Whatever form the draft is in. A Word or PDF questionnaire, a spreadsheet of items, or a CSV export of your question list all import as research context.
Why not just use the Qualtrics preview?
Preview checks that the survey functions — logic, piping, display. It cannot tell you that respondents read question nine differently from how you meant it. Those are different failures and only one of them is expensive after launch.
Does this replace a soft launch?
No. Soft launch measures real completion, drop-off and incidence with your actual panel. This removes comprehension errors first, so the soft launch measures fieldwork reality rather than rediscovering a badly worded item.
Can I bring the results back into my analysis stack?
Yes. Study results export as a long-format CSV that opens in SPSS, R, Q, Displayr or Excel, so the synthetic pass and your real data end up in the same workflow.
