Variable checks and cross-tabs
Ask about the file in plain English, from checking a variable to exploring how responses differ between groups.
Research HelperPlain-English research
Ask the file. Follow the question.
Ask plain-English questions of your survey file — from quick variable checks to cross-tabs. Explore the questions advanced methods do not cover, with your research objective in the lead.
Coming soon
Open-end sentiment analysis · Correspondence mapsA question, an analysis, a decision
Start with the question your team is asking.
Example · “How does NPS differ by segment?”
- 01
Ask in plain English
Start with the research question, rather than selecting a statistical method. Research Helper runs the cross-tab from the question.
- 02
Read the result in context
In this example, the cross-tab shows promoters concentrated in Segment B (+14 pts). The finding gives you a direction to explore.
- 03
Ask the next question
Follow up in the same conversation — break Segment B down by age, or check how a variable was answered. You decide how the findings shape the research story.
Research Helper supports the everyday questions around your study; specialist tools take the analysis deeper when needed.
The deliverables
What you take away.
From the analysis to the next decision.
Coming soon
Open-end sentiment analysis
Coming soon. Ask Research Helper to analyse sentiment in the open-ended responses.
Coming soon
Correspondence maps
Coming soon. Request a correspondence map as you explore the relationships behind your question.
Under the hood
Know what’s behind the result.
Explore the methods, checks and choices that shape the analysis.
When teams use this
- We need a quick check on a variable before going deeper.
- How does NPS differ by segment?
- Which age group drives the difference?
Start with the research objective
Crowdmines builds the analytics approach around what you are trying to learn — such as brand health, pricing or product-market fit. Research Helper supports the variable checks and questions around that objective.
Calculated numbers, contextual interpretation
Core statistical engines calculate the numbers, and validation agents check them before you see them. Reporting agents help interpret model outputs in your research context.
The researcher stays in the lead
Agents propose analyses and interpretations; they do not make the final call. Every recommendation stays in the researcher’s hands.
Where specialist methods fit
Go deeper with customizable CBC, MaxDiff, segmentation, Driver Analysis and more. Research Helper covers the plain-English questions and cross-tabs around those advanced analyses.
Follow your research question further.
Bring your survey file and explore it in plain English, with your team’s objective and judgement in the lead.