Review every questionnaire like a senior researcher is walking through it with you.

Most questionnaire review tools produce a list of issues. The better ones are AI-powered and cover wording, scale design, order effects, leading language, and screening alignment: real problems that matter. Research Guard does all of that, but the experience is closer to a guided review conversation than a report delivered at the end.

The workflow moves step by step through the questionnaire, surfacing the issues that matter, explaining why they matter, and asking the researcher to make the calls that only they can make. The output is not just a warning list. It is a route from reviewed questionnaire to approved, revised questionnaire.

Before Research Guard looks at a single question, it starts with the purpose of the study. It asks what the research needs to find out, what decision it is meant to inform, who the audience is, and what is fixed versus what can still change.

That context changes what the review catches. A question can look fine in isolation and still be a problem: measuring something slightly different from what the brief was asking for, asking respondents to evaluate something they have not yet been given enough context to form a view on, or failing to operationalise the intended audience in the screener. Research Guard checks whether the questionnaire as a whole will actually answer the business question it was designed for, not just whether each individual question is well-formed.

From there, the review stays collaborative. Research Guard works through each part of the questionnaire, packages the changes that need attention, and helps the researcher decide what to accept, revise, or keep because of tracker, stakeholder, or methodological constraints.

When a check raises a concern, Research Guard does not just flag it. The finding explains what the problem is, why it matters for this particular study, and what effect it is likely to have on the data if it goes into the field as-is. Where a better version is straightforward, the review shows what it could look like. Where the trade-offs are more complicated, for example a change that would improve accuracy but break a tracker, those trade-offs are named explicitly so the researcher can decide.

A flag without context creates more work, not less. The goal is to give the researcher enough to make the right call quickly.

The conversation does not stop at a set of recommendations. Once the researcher has worked through the review, Research Guard produces a revised questionnaire formatted to best-practice standards, so the boring clean-up work does not fall back onto the researcher.

That matters when questionnaire versions move back and forth with stakeholders, clients, or scripting teams. The researcher can focus on the decisions and trade-offs, while the tool handles the structure, formatting, and consistency needed for a clear final handoff.

The guided workflow is underpinned by over 20,000 lines of review logic that define how each check is applied. The 42 checks span 10 areas of questionnaire design, with hard stops, strong recommendations, and judgment calls weighted differently so researchers see what matters most.

The checks span every area where questionnaires typically go wrong:

Research Guard does not rewrite the study on the researcher’s behalf. Issues that are hard stops, including ethics, consent, and questions that cannot be measured as written, are always surfaced and cannot be quietly set aside. Everything else is a recommendation the researcher reviews and approves. When a tracker question is in use and changing it would break comparability, the system says so rather than overriding the researcher’s existing convention.

The right call on any given issue depends on the study. Research Guard’s job is to make sure the researcher sees it and makes that call, not to make it for them.