Scaling Quantitative Research with Dynata+
Dynata+ was selected over multiple leading self-serve research platforms based on superior usability, responsiveness, and ability to support large-scale studies.
Challenge
A leading international financial services institution sought to modernize its quantitative research approach to support growing demand for customer insights across general, savings and investment audiences.
The organization required:
- High-volume research execution (~ 20,000 completes annually)
- Faster turnaround times to support local & global UX and market research needs
- Greater autonomy and flexibility for internal teams
However, its existing agency-supported model created challenges:
- Slow project turnaround times
- High costs per study
- Limited visibility and control over research execution
To address this, the client explored a range of self-serve research platforms, looking for a solution that could empower internal teams while maintaining the scale and rigor required for enterprise research.
Solution
After evaluating several leading self-serve research platforms, the institution selected Dynata+ as its preferred quantitative research solution.
Key differentiators included:
- User-friendly, intuitive platform
Dynata+ stood out among evaluated self-serve tools for its ease of use and accessibility, enabling research teams to get up and running quickly - Self-serve speed with enterprise-scale capability
Dynata+ enabled the client to independently launch and manage large studies, addressing a key gap identified in other platforms, which tended to focus on smaller or more experimental use cases - Seamless onboarding experience
Teams were able to quickly adopt the platform, with responsive support available as needed - Platform that evolves with customer needs
Ongoing engagement ensured the solution continued to meet the client’s requirements, reinforcing confidence in long-term scalability
Impact
Following implementation, the client selected Dynata+ as its primary partner for opinion and preference-based quantitative research.
Results include:
- Improved speed to insights through self-serve research execution
- Reduced reliance on agency workflows, increasing efficiency and internal ownership
- High satisfaction among research stakeholders, driven by platform usability and support
- Confidence in a scalable solution capable of supporting high-volume ad hoc studies
- Established foundation for expansion into additional international markets
