This document discusses analytics and content strategies for a government organization. It outlines an evolution from basic metrics collection to more advanced and actionable insights. It describes goals of improving key performance indicators across traffic sources, conversions, behavior and qualitative measures. The document also discusses lessons learned around planning, documentation and reporting/visualization. Segmentation strategies and refinements to the organization's website search and navigation are proposed based on user research findings.
32. This year however, we have been required to follow up
via phone (which is a big drain on resources) as many of
our students can't find where their email is. In the
onversations with them I had to walk them through going
to the ualberta.ca homepage then clicking on
'apps@ualberta.ca'to find their email account. It has
become clear thatapps@ualberta.ca in no way translates to
'hey- that is where my email lives' to our students-
especially those new to the U of A.
#3: - collecting: just getting whatever data we can. make sure its valid - high level: visits, pageviews, demographic data - advanced collecting: click tracking, filtering, events, custom variables - detailed metrics: sources, segments, search, behaviour based on segment - useful/actionable: info from data on how users behave helps make the decisions about content and design
#4: Many sites using different GA accounts viewed as completely separate sites Attribution model is incorrect other data also incorrect: search terms, pages/visit, new and returning, landing pages
#5: rollup account solves this separate accounts can be used to do path tracking
#7: sources to all ualberta sites - much more accurate than many different accounts
#8: we have 100s of accounts. also need to take into account how to manage
#9: - what it looks like - managing users and access - maximize what you can do with accounts, profiles, filters etc - central account with admin means data is never lost
#10: - GA in a good place - add other tools - Crazyegg: where are users clicking - KISS Metrics: what are users doing. paths, funnels, cohort - KISS Insights/Qualaroo: valuable qualitative data
#11: - planning is key to capture the data you want - document what youre doing. have something that team can refer back to
#12: - must have goals set up - without goals, how do you know if youre successful - old saying if you cant define success, you cant measure success - define it, measure it, improve it
#13: - for us, the goals are obvious - match up to the Universitys overall goals as per the presidents Dare to Discover
#14: - its on all our pages. - new version, it will be even more prominent and consistent - track all of these - how are users converting
#15: - goals in GA - can be used to measure full conversions or even an almost conversion - almost means as close as we can get to final conversion, but we dont have the tech or access to fully complete the cycle with analytics
#16: - almost ready to launch institutional refresh. - looking at our past data (1 year) and making changes based on what weve seen - clicks, usability, patterns, SEARCH
#17: - define our funnels. how to users get from entry to goal completion