The possibility to understand: SaaS Product Metrics

Colorful Rulers to Measure
Do you measure up?

Part of the compelling nature of SaaS Products is the possibility to understand the user and improve on the go. Any Product Manager will literally have to understand what are the use-cases for customers and how to focus on the important areas. Just recently our team led the debate which metrics would be the right ones to focus on.

Nancy Wang, Head of Product Management at Amazon Web Services, highlights six product metrics enterprise SaaS companies should track.

In this Article, Nancy Wang, head of Product Management at the most successful cloud service providers, shares her insights on important metrics to keep an eye on. The possibility to understand often goes overboard and requires focus.

The case under discussion in the article revolves around paid products. Derived metrics are a foundation that serves as a blueprint to other products in the SaaS space. Goals differ, but ultimately, to make a product successful, it requires an understanding of how successful customers were, using the product. Following the established funnel pattern, users are being segmented into funnel. Along that funnel, the metrics acquired need to reflect the stage of the journey the user is on.

At the top of the funnel, most often the interaction is anonymous and requires profiling to understand the audience coming in. Further down in the funnel, metrics capture engagement and transaction. Towards the end of the funnel, the metric needs to relate to retention.

Source: Do You Measure Up? Metrics for Enterprise SaaS Product Managers

What People Hate About Being Managed by Algorithms

Uber ran a study to figure out, how people feel about being managed by ‘the platform’. And to no surprise, Captain Obvious helped with the results. Drivers working for the company, feel like they are managed by a micromanager, watching every small step and worse, criticising every small mistake, leads to worse, sometimes toxic results. There is way to go for algorithms to catch up with social achievements.

It’s like having a micromanaging boss who’s always watching you.

Source: What People Hate About Being Managed by Algorithms, According to a Study of Uber Drivers

Fastly files for IPO

Crunchbase has a First Look At The Fastly IPO Filing
news.crunchbase.com/news/first-look-at-the-fastly-ipo-filing/

Risk assessment process

  • Threat identification is the review of technical and technical events that may damage a system
  • System characterization is the review of system and data criticality and sensitivity
  • Control analysis is the review of current and planned countermeasures against security requirements checklists.
  • Vulnerability identification is the review of system security procedures, design, implementation, or internal controls that may fail during attacks.