Mind Mellow Application

Inspiration

There was a time, mental health was a topic that was discussed and talked about only in health care circles and the solution in most cases relied on an expert psychologist / counselor talking to the affected person and providing his/her recommendation. However, not all mental health problems require the intervention of a psychologist or counselor and often can be resolved by talking to friends, family and co-workers. The app that we have built is a first step in that direction as it provides a platform where employees can have free and open conversations with their co-workers on the issues affecting their mental health while at the same time get recommendations on how to resolve or address them

What it does

A web portal is provided where employees can volunteer as well as get help on issues affecting their mental health and well-being. Qualified volunteers, once registered on the portal can counsel their fellow colleagues on problems affecting the latter’s mental health either in their personal or professional life. The project uses sentiment analysis to predict the probability that a particular employee’s issue or stressful situation cannot be resolved by a regular volunteer and hence requires immediate / professional intervention from a trained Psychologist who is qualified to address on these issues

How we built it

We started by defining the issue or problem statement that needed the resolution and the functionality or high level features needed from our application in order to effectively address that issue or problem. The outcome of this exercise helped us to identify the initial set of micro-journeys or case types that will have to built as part of the MLP release. Case types and user experiences were then created to satisfy each of the identified micro-journeys. We also identified and named the personas - end users who would be using our application and hence will be involved in one or more of these micro-journeys - and the different modes in which they can access the application. Case management prediction was then built and embedded within the context of primary case type thus allowing the cases to be routed based on the outcome available from the predictive model

Challenges we ran into

We faced some challenges initially wherein the predictive model was not being available to the case management layer though eventually we resolved this issue

Accomplishments that we're proud of

The app addresses one of the major concerns of organizations today and especially of the HR departments and proves to be highly relevant to the digital workplaces of today

What we learned

Learned the many creative ways in which Pega process AI can be used to solve societal problems

What's next for Case management prediction for employee well-being

1) New persona creation for external counselor / psychologist in the Pega platform so that the user can access the portal by themselves and capture their recommendations from interacting with the employee  2) Employee feed-back will be utilized to generate additional insights for the HRBP who could use that information to ascertain the satisfaction level of employees from the counseling sessions 3) Buddy or Campaign recommendations will be customized on the landing page based on the logged in employee’s profile information and his/her previous interactions through the website (next best action use case) 4) Options will be provided on landing page so that employees to directly connect with their preferred buddy without having to go through the buddy  / peer request process

Built With

• pega
• pegadecissioning
• processfabric