Investigate integration of analytics into application

[karthik-Jay]

Outcome:

• breakdown analytics integration into smaller tasks.
• Create github issues for these tasks and link to "Analytics Feature" milestone.

[c6z3h]

Breakdown of steps to perform Web Analytics (guide: https://blog.hubspot.com/marketing/guide-to-web-analytics-traffic-terms):

• [x] Choose a technology (FE: Google Analytics, BE: Grafana / Prometheus)
• [ ] Define business objective [who does this? Sharon or Brice?]
• [ ] Form initial hypothesis
  1. if you discover that the majority of users on your site are using a mobile device, then you can focus on making your website more mobile-friendly
  2. maybe you look at your site’s traffic sources and notice that organic and email traffic are your top drivers and paid channels are your lowest. In that case, you might shift resources to invest more in your organic strategy than paid
  3. bounce rate is the percentage of sessions that started on the page and did not move to another page on your site. Generally, a bounce rate of 40% or lower is considered good, 40% to 70% is average, and anything above 70% is considered high. If your site’s overall bounce rate is high, it might help to identify individual pages with high bounce rates. A high average page bounce rate might indicate there’s a problem with the page’s loading time, or that external links are not opening in a new tab or window, among other reasons.
• [ ] Decide what metrics to use to test hypothesis
• [ ] Add the monitoring (either by GUI or code, depending on step 0)
• [ ] Future: Analyse and refine hypothesis

[karthik-Jay]

Currently wainting on metrics/hypothesis.