Power up your quantitative research
Finally, survey tools that adapt to you, not the other way
around. Kalever tools streamline your workflow, integrate
seamlessly with your data collection platform of choice,
and unlock deeper insights, faster.
“I’ve worked in operations my whole career and was responsible for
programming and project management. The combination of their platform and
highly skilled professional members of the team makes it really easy to work
together.”
Mark Slobbe
Chief Operations Officer,
Qrious Insights
Quantitative Market Research with Kalever
Market Research Steps
1. Research Scoping
2. Survey Questions
3. Survey Design
4. Survey Translation
5. Survey Testing/ QA
6. Survey Distribution
7. Data Processing
8. Data Analysis
Kalever Offers
Kalever Tools
Added Value
Advising on sampling, methodology, budget, and timeline
Pricing Tool
Reduces complexity and time for planning and provides transparent and efficient pricing overview from the outset.
Suggesting clear, goal-aligned survey questions
Idea to Survey Tool
Effortlessly generate a detailed questionnaire from simple specifications—complete with the survey code behind every question.
Offering proprietary platform-agnostic tools to streamline survey link creation, with guidance on question types and logic flow
Document to Survey Tool;
Code to Document Tool;
Survey Editor Tool
Code to Document Tool;
Survey Editor Tool
Simplifies and streamlines survey design, minimizing errors and enhancing user experience with intuitive features and real-time previews. Survey code is auto-generated and compatible with multiple data collection platforms, including Decipher, Confirmit, Nebu, and Dimensions.
Real-time translation tool, supported by experts for local relevance
Language Manager Tool
Eliminates manual translation hassles, ensuring accuracy and consistency across languages with automated synchronization and real-time updates.
TrackEntry
QA is faster and more efficient with in-link commenting, auto-captured question IDs, and real-time tracking.
Simplifying testing, bug reporting, and team communication
AI-Driven OE Coding
Automates response classification and data quality using AI, machine learning, and traditional methods for speed, consistency and depth.
Applying syntax checks for data integrity along with OE coding