What Self-Service Analytics Really Means for SaaS Teams

Self-service analytics can help SaaS product teams break out of the endless cycle of customer requests for new reports, dashboards, and analytics features.

In this video, David Abramson, CTO at Qrvey, explains what self-service analytics really means for SaaS companies and how product and engineering leaders should evaluate embedded analytics tools.

You’ll learn the three layers of self-service analytics, from basic interactivity to full self-service capabilities, and why the right approach can help your team reduce support burden, empower customers, and create a more differentiated product experience.

In this video:
00:00 The problem with endless analytics requests
00:17 Introduction
00:38 What self-service analytics means
00:53 Layer 1: Basic self-service
01:27 Layer 2: Personalization
02:16 Layer 3: Full self-service analytics
02:53 Why self-service analytics matters
03:37 How self-service can differentiate your SaaS product
04:06 What to look for in an analytics platform
04:42 Supporting different tenants, roles, and users
05:38 How Qrvey supports self-service analytics
06:33 Qrvey as an extension of your development team
07:26 Multi-tenant security and long-term scalability
07:26 Summary: Why self-service analytics matters

Learn more about Qrvey: https://qrvey.com

Видео What Self-Service Analytics Really Means for SaaS Teams канала Qrvey