Qrvey’s Embedded Services

Embedded Services for SaaS companies

Your Success is Our Success.
We’re with you every step of the way.

Qrvey’s Embedded Services model is designed to augment your entire in-house solution delivery team. We recognize that many different functional organizations within your company must work together to deliver an embedded analytics experience. That’s why Qrvey offers our own in-house experts with a range of skill sets and disciplines to help you expedite delivery timelines and production releases. Our team effectively embeds within your solution delivery team to optimize your product roadmap planning, implementation, testing and deployment of your embedded analytics solution.

Qrvey’s Customer Success team will lead a discovery session with your product owner(s) to determine which Embedded Services are recommended for your analytics offering.

Embedded Product Roadmap & Requirements Planning

We don’t just help you implement your embedded analytics solution—we help you strategically plan and prioritize the key features within your own product’s analytics roadmap. Our team collaborates with your Product Management team to:

Identify key analytics features that align with your business goals and user needs.
Define data-driven product requirements to enhance customer value.
Develop a phased implementation strategy to align with your roadmap.
Ensure that our own product roadmap aligns with your future release plans.

Your assigned Product Manager will create a bespoke embedded analytics roadmap for your chosen product line that focuses on a phased release strategy to achieve your MVP. Each milestone on your custom roadmap highlights the key Qrvey platform features that should be implemented for each phase.

And if there’s a critical capability that you require for your embedded analytics roadmap, your assigned Product Manager will work with you to develop the functional requirements and then work with our Engineering team to deliver it.

Embedded Custom Styling, Interfaces & Feature Development

Your embedded analytics solution should feel like a seamless extension of your product. While you can certainly embed and white-label a prebuilt UI using Qrvey, we also understand that you may need a truly custom UI to provide the UX that sets your product apart from the competition. Some of the possible deliverables for this service are:

Custom Styling & Theming – Match your analytics dashboards with your SaaS platform’s look and feel, ensuring brand consistency.
Custom Interfaces & UX Enhancements – Build intuitive, user-friendly interfaces for analytics consumption within your application.
Custom Web Components & Feature Development – Develop custom features, backend processes and workflows that extend and enhance what Qrvey offers out-of-the-box.

Your assigned Solution Developer will help you create custom, brand-aligned experiences that enhance usability and engagement. We can implement custom styles for any of our embedded widgets to precisely match your core application look and feel, and we can even develop a completely custom UX that leverages our own APIs, when compromising on your application’s UX is not an option.

Embedded QA & DevOps Processes

Once you have implemented your embedded analytics solution, then it will be time to focus on QA activities, production readiness, load testing and DevOps deployment processes.

Our team of QA and DevOps experts can help ensure that your solution is ready for the demands of a multi-tenant production environment. Some of the possible deliverables for this service are:

Custom QA Test Scenarios – Create test cases specifically for your dashboards, reports, workflows and data loads.
Performance Tuning & Load Testing – Develop single session baseline performance tests, as well as concurrent session load tests to ensure optimal performance across your embedded analytics solution.
Infrastructure Configuration & Optimization – Configure your infrastructure to meet your contractual SLAs around real-time data analytics, application response times and scheduled workflows.

Your assigned QA engineer will provide a test plan for your embedded analytics solution within your UAT cloud environment. We can also create custom test scenarios for our own platform QA team to ensure that your specific use cases and workflows are 100% compatible with future platform upgrades. Your assigned DevOps engineer will tune and configure your platform infrastructure to find the perfect balance of performance and cost.