In an earlier blog post, I wrote about the power ingredient of easing into a product role which is to get very comfortable with the data because data is not just about the numbers, its about people!
In this post, I write about the types of data you need to look into on a daily basis and the tools to use.
At the root level, there is raw data that is captured and stored in large scalable data warehouses such as Big Query from Google, RedShift from Amazon & Azure, amongst multiple others.
To make sense of this raw data there exist Business Intelligence (BI) tools, which provide the most powerful and flexible set of visualization and data munging capabilities. Some common names of tools are — PowerBI & Tabeau. Traditionally, there have been dedicated groups that own and operate these BI tools and generate reports for everyone in the company. More recently tools such as Mode Analytics, ThoughtSpot, Looker, Periscope Data … have emerged that aim to democratize the data access to everyone within a company. They make it really easy for someone who does not know SQL to do data analysis.
Even with the increase in ease of use of the BI tools there still exists a need for less complex data analytics tools targeted to the specific personas within a company.
The overwhelming amount of data gathered and sorted by GA gave rise to a second set of SaaS data analytics tool companies that have the core philosophy that you need to have a hypothesis about what you want to measure and why before you start collecting the data for it. This paradigm shift was started by the founder of MixPanel about a decade ago and has since been adopted by others such as Amplitude and Segment. Together these three companies (Segment, MixPanel, and Amplitude) provide the leading set of tools and capabilities to deeply understand your SaaS Product. These tools are geared towards helping you build a great product based on tracking specific actions that users do in your product.
If your team size is greater than 50 people, you should look into the Segment. This allows you to instrument events once and pipe the data to multiple analytics tools and avoid reinstrumentation as your needs for the tools evolve.
For user experience, a PM should look into a heat-map tool so you can know exactly what your users are experiencing. The best tool for that is FullStory easy to use, real-time and many actionable insights. In Full Story, if you see an anomalous experience you can report it to the QA and Customer Success teams by directly linking to Jira and Slack!
Finally, there are survey tools to capture qualitative metrics. One should look at integrating an in-app survey tool such as Delighted or UserVoice. There are many others Delighted is simple to use to get NPS scores and Uservoice is versatile. A really good option is to integrate Drift and spend some time understanding customer issues during the onboarding period. The data points might be small but will be valuable as a PM to understand customer pain points.
Once, you have the cohorts and the survey data you can use any number of “Take action tools” such as Intercom, Pendo, LeanPlum, Iterable, Sales Force Marketing Cloud …this list is endless.
To summarize, as a PM, you should look into the following four tools:
- Google Analytics
- Full Story