Triggerz recommendation engine
The heart of Triggerz is a recommendation engine that matches content to people.
The heart of Triggerz is a recommendation engine that maps individual users to content objects/-packages/-flows based on a relevance score. The relevance score are most often based on 100% customer specific competence-/capability models - supplemented by other quality- and impact indicators.
As competence- and capability models varies greatly from customer to customer, and from role to role, we have made it very easy to adapt to customer specific versions (Customization)
- Basic Ux structure
Planned development activities:
For you as an individual, Triggerz provides an overview of all your planned development activities – across different programs, and whether mandatory or chosen by yourself.
Personalized feedback:
Personalized feedback motivates you and helps direct your focus to the exact competencies you will benefit the most from improving.Individually recommended content :
Triggerz gives you the opportunity to explore training content – recommended specifically for you – and sorted by what will best help you achieve your career objectives.
Triggerz Analytics & Exchange platform
The capture of user insights are at the very core of Triggerz.
It makes our personal recommendations increasingly valuable to our end users and it feeds us with insights about what works (and what does not work) and inspires our customers to spend the next investment where it creates the highest effect.
But, as we are most often part of a larger eco-system, we rarely have all the relevant data within Triggerz, so we needed to take a larger perspective:
The overview illustrates examples of all the data-sources that can be combined to understand the true drivers of desired new end-user behavior. The blue boxes are what is captured in Triggerz - and the green boxes is examples of data that resides in other IT systems.
Based on this thinking, Triggerz did not only create an analytics platform. We combined it with an "Exchange center" - allowing our customers to combine Triggerz data with other important data sources.
Triggerz captures all relevant data about user behavior and moves it to a data-warehouse on a daily basis. In this process, the data are prepared for processing and data visualization.
We have currently integrated with Tableau business intelligence platform - but our architecture remains open to adding other BI platforms.
Example of one of many data reports delivered via Tableau (content deliberately distorted to protect customer data)
So, how can we share data with our customers?
We basically have two approaches that can be combined:
- Triggerz as processing center
- Triggerz as source
When Triggerz acts as processing center we import data from other sources. This can be as trivial as importing data via Excel-/CVS files - or happen automatically via automatic, encrypted and safe, transfer routines.When Triggerz acts as source the traffic goes in the opposite direction, but the methods are the same: Anything from Excel exports to safe transfer routines.
