White Storm Technologies helps you turn a research objective into a usable survey and an understandable analysis. AI can assist with drafting questions, organizing open text, and preparing explanations. Findings come from actual collected responses and documented analytical work; generated respondent personas or invented answers are not presented as survey evidence.
YOUR GOALS. OUR EXPERTISE.
WHO WE HELP
Built around your team.
For research teams, customer insight leads, education providers, and organizations evaluating products or services.
The challenges we help solve.
A survey can look polished while asking the wrong question, routing respondents incorrectly, or collecting data that cannot support the intended comparison. After collection, inconsistent exports and unreviewed text summaries can hide important limitations. Design, collection, and analysis need to fit the same research question.
WHAT WE DELIVER
What we can build with you.
01
Instrument and collection plan
A questionnaire, routing specification, pilot checklist, and respondent collection plan. Recruitment, incentives, panel suppliers, consent information, and fieldwork responsibilities are agreed explicitly where required.
02
Prepared response dataset
An organized export with variable definitions, agreed cleaning rules, quality flags, and a record of exclusions. Genuine responses remain distinguishable from pilot, test, or demonstration records.
03
Reviewed analytical outputs
Tables, charts, open-text themes, and a findings brief matched to the research objective. We show sample context, missing data, and relevant limitations alongside the conclusions.
Define the population, intended decisions, key measures, and comparisons. Draft the instrument and review wording, response options, burden, and routing with your team.
02
Collect genuine responses
Pilot the survey and agree how real respondents will be invited and supported. The client or an agreed supplier runs recruitment and fieldwork under the documented collection plan.
03
Analyze with context
Apply recorded quality checks, analyze the collected data, and review AI-assisted coding or summaries. Explain what the sample supports and which questions remain unanswered.
A CLEAR STARTING POINT
What we need from you.
The research objective, target population, and intended use of results
Existing questionnaire drafts or measures you need to retain
A respondent access or recruitment plan and fieldwork responsibilities
Response exports, variable definitions, and rules for sensitive information
Systems & integrations.
We assess access, supported APIs, and suitability during discovery. These tools are options to evaluate for your project.
Your survey platform or an agreed collection tool
Client respondent lists or separately scoped research suppliers
Spreadsheet, CSV, database, and permitted CRM exports
Reporting tools and internal review or document workflows
Illustrative example: understand learner experience An education provider wants to learn why students find a course difficult. The project could refine its questionnaire, set up a real learner feedback collection plan, and combine rating questions with reviewed themes from comments. The report would explain who responded and avoid treating the responding group as representative without supporting evidence.
BEFORE WE BEGIN
Questions worth asking.
Do you generate responses with AI?
AI-generated answers can help test a draft instrument or demonstrate a workflow when clearly labeled. They do not count as genuine respondents and are excluded from survey findings. Research evidence must come from the agreed real-world collection process.
Do you provide a respondent panel?
Your organization can provide access to respondents, or we can discuss recruitment and supplier coordination as a separate part of the project. Supplier availability and costs must be confirmed.
Can you analyze data we have already collected?
Yes. We first review the questionnaire, collection method, export, and intended decisions. Those details determine whether the dataset can answer your questions and whether additional collection is needed.
Can AI analyze open-ended comments?
AI can assist with coding and grouping comments. We agree a codebook, inspect representative examples and ambiguous responses, and review the themes against the original text before reporting them.