Research director
The challenge
Questionnaire changes and inconsistent study structures make research difficult to repeat and review.
The benefit
Use reusable questions, validation and published versions to keep the collection process organised.
Market research
Connect your research question to evidence your team can use
Run a repeatable research workflow from questionnaire design to a reviewed dataset and report. Collect structured responses and open feedback, coordinate researchers and field teams, and keep each study connected to its published form version. Use the results to inform positioning, customer understanding and the next research question.
- Market research agencies
- Brand and consumer insight teams
- Independent research consultants
- Retail and service businesses
A clear fit for the people buying and using it
Who needs this service, and why?
Consumer insight lead
The challenge
A summary needs a clear connection to the answers and study scope behind it.
The benefit
Review filtered reports and approved analyses alongside the submitted records.
Field research coordinator
The challenge
Distributed collection teams need visibility into incoming responses and records requiring investigation.
The benefit
Coordinate collector access, monitor collection activity and follow quality findings in the same workspace.
Turn the service into everyday work
How your tenant uses Jorip
Use these existing workflows to connect your team’s task with a result it can review and use.
Customer needs and market understanding
How you use it
Build a questionnaire covering behaviours, needs and preferences. Collect the attributes needed for approved group comparisons.
What your team gains
Understand patterns within the respondents your study reached and define the next questions to investigate.
Brand and message research
How you use it
Present the material you want respondents to assess, collect comparable answers and inspect their written explanations.
What your team gains
Bring recorded customer reactions into positioning and communication decisions.
Coordinated field research
How you use it
Assign collector access, share collection links or QR codes and review activity and quality findings. Prepare and test selected devices before offline collection.
What your team gains
Give coordinators a shared view of collection progress and work needing follow-up.
Research handoff
How you use it
Review the collected records, generate a project PDF and request approved CSV or XLSX exports for further analysis.
What your team gains
Deliver a defined report and dataset with a clear collection and review scope.
Research group comparisons
How you use it
Define the relevant groups and, where your study requires it, documented case weights. Review estimates, confidence intervals and two-group comparisons with their methodology.
What your team gains
Discuss differences with the sample sizes and assumptions available to your researcher.
Part of every service
From trustworthy responses to useful insight
Your workflow brings analysis and quality review together in the same workspace. Match the published plan allowances and optional AI credits to the work your team needs.
AI-assisted data analysis
Ask questions across approved fields, compare relevant groups and organise written responses. Review field meanings, filters, statistical assumptions and supporting answers, then save analyses for the next team discussion.
Work across complex questionnaires with approved field meanings, groups and filters. Review comparisons, statistical assumptions and open-response themes before preparing a research finding.
Provider-assisted dataset questions require workspace enablement, a configured provider, permission and credits. Review the analysis and sampled text themes before using them in a decision.
Data quality & review
Investigate configured quality findings, assign follow-up and record review decisions. Apply approved corrections in tracked batches, retain the original submissions and reconsider derived corrections through rollback.
Follow quality findings across collectors, assign review work and record approved corrections. Give the analyst a clear history of how the research data was reviewed.
Quality flags guide investigation and depend on the available collection metadata. Corrected values are retained separately; submission exports currently contain the original answers.
Benefits versus price
Pay for the workspace your team needs
A research programme needs capacity for its studies, collectors, analysts and responses. A paid workspace supplies the published allowances for that workload and keeps reusable research assets in the same team environment. You provide the study design and respondents; the subscription provides the tools for collection, review and reporting.
Loading published plan prices…
What makes the subscription useful
- Keep collection and reporting connected to an identified study version.
- Reuse validated questions across comparable research rounds.
- Coordinate collectors and review incoming data in one place.
- Prepare an authorised dataset and report for your team or client.
Check the value in your own process
- Questionnaire preparation time across repeated studies
- Collection progress and open quality findings in the defined study period
- Time needed to prepare a reviewed research handoff
Use these measures to evaluate your own improvement. They are not promised customer results.
Start with a process you can evaluate
Put the service to work in three steps
- 01
Design and pilot the study
Agree the research question, respondent selection, consent, answer rules and reporting scope. Test the questionnaire before publishing.
- 02
Coordinate collection
Give colleagues the access they need, distribute the form and monitor incoming responses and collection issues.
- 03
Review and report
Investigate quality findings, record review decisions and analyse approved fields with optional AI assistance. Prepare reports or authorised exports for the next decision.
The tools included in this workflow
- Forms
- Question library
- Distribution
- Offline fieldwork
- Operations
- Quality overview
- Issue inbox
- Data cleaning
- Codebooks & coding
- Statistics
- Analysis
- Reports
- Exports
Your team supplies the research design, sampling, respondents and interpretation. Collection does not establish population representativeness. Offline work needs advance preparation and a connection to sync. Messaging channels require their configured providers.
Give your team a better way to work
Start with the process you want to improve
Choose the service, compare the current plan and test the workflow with your team.
Discuss your team’s requirements