Qrvey Support

QuickStart Packages

Jump Start Your Embedded Analytics

Our QuickStart engagement packages are designed to get your Qrvey project off on the right track, with the right architecture and the right project plan to meet your production target. These engagements provide access to Qrvey’s expert platform architects and consultants who can guide and assist your team during the implementation. Qrvey consultants will work with you to review your project requirements, propose a solution architecture that meets those requirements, and perform biweekly check-ins throughout your implementation sprints. Most implementations follow an 8 to 12 week timeline, and we can assist you with go-live readiness and help you meet your production target.

Package 1: QuickStart

The QuickStart is designed for customers who want access to Qrvey platform experts and consultants with years of experience integrating self-service analytics for SaaS organizations. These engagements are best for customers who need –

  • Experienced Qrvey platform architects to help guide the design and implementation of their embedded analytics solution
  • Advice and guidance from Qrvey’s expert consultants with over two decades of experience building embedded analytics solutions
  • Support that is customized and tailored to your specific project requirements and business objectives

You will work with an experienced consultant who will review your project requirements, design and propose a solution architecture to implement those requirements and assist with project planning to meet your delivery timelines. Qrvey’s consultant will manage the QuickStart engagement end-to-end and will –

  • Conduct biweekly meetings with your development team to address ongoing challenges
  • Coordinate with Qrvey’s platform architects to drive any mutually defined initiatives to completion
  • Facilitate the creation of design documents and architectural diagrams tailored to your specific analytics solution

You will also have an assigned expert development team consisting of a platform architect, front-end developer and data engineer who will –

  • Advise and consult on your data, security and embedding architectures
  • Create targeted design documents and architectural diagrams for widget integration, dataset design and multi-tenancy architecture
  • Guide and assist your development team to complete the various implementation initiatives outlined in the project plan

Package 2: QuickStart MVP

The QuickStart MVP is designed to help expedite the implementation of your first production-ready release with Qrvey embedded analytics. The QuickStart MVP engagement includes everything that the QuickStart offers. Additionally, Qrvey’s team will organize this engagement around a set of mutually defined initiatives that typically includes a combination of consultative sessions with deliverables. Some of the more common initiatives we have identified for a MVP release include:

  • Data Preparation activities such as identifying SQL and NoSQL unstructured data sources, building custom data connectors and structuring JSON data documents for import into Qrvey’s Elasticsearch data engine.
  • Dataset Design activities such as schema design, array inflation, data transformations, geocoding and data sync configuration.
  • Security Architecture design considerations for OpenID and JWT SSO integrations, role creation, data security and application content access permissions.
  • Multi-Tenancy Design considerations around data security, content access permissions, content deployment, sharing and organizational hierarchies.
  • Integration & Embedding guidance around widget types, restricting functionality with permissions, OpenID and JWT integrations and end user personalization of reports and dashboards.
  • Branding & Theming of embedded widgets, charts, pages and reports; also includes special UI modifications and customized styling.
  • Web Form Design enablement of forms, surveys and quizzes; help with branching logic and use sentiment data capturing; data blending techniques to combine web form data with datasets from other data sources.
  • Automation Architecture design of workflows that utilize Slack integrations and custom web hooks.