What's different about #lovework?

The short answer is no. We reserve the right to change our mind on this down the line, but so far we've found that the user experience is enhanced considerably by being separate from typical user workflow applications.

Think of this as being similar to an off-site team building — you COULD do that same team building in your everyday office space, but it’s more effective and refreshing to get OUT and be in a new physical location.

The #lovework app is like this; it’s designed to be an “aesthetic reset,” a calm and serene place to go to recharge from the constant pings of email, Slack/Teams, your EHR system, etc.

We're continuously monitoring and measuring how much people use #lovework, of course, and we find that in general, utilization rates are MUCH higher for our participants versus other offerings (LMSs, EAPs, etc.) for a few key reasons.

First, #lovework isn't just an app. So your non-tech people still get a chance to learn and build habits in the Weekly Huddles!

Second, we come to you instead of you coming to us. A huge part of the challenge of using LMSs or EAPs is having to go to them and dig through a huge number of resources to find what's needed. #lovework curates exactly what you need and brings it to you.

Third, we create a venue for the "when." This is a difficult, and massively under appreciated, part of change — WHEN do I do the new things you want me to do? #lovework carves time out for this every week in the Huddles, and fits in the passing moments (when you check your phone anyway) for individual practice.

Absolutely! Most people get comfortable with sharing very quickly. This may seem surprising, but it won't be after you use it. Everything in #lovework is based in positive psychology and appreciative inquiry, so the things people are prompted to share are generally encouraging, uplifting, and energizing.

This is a common fear before starting, but it's not an actual challenge. First, we don't share any personally-identifiable data with an employer — our Impact Reports are always aggregated and anonymized. Second, the data that's going into the app is volunteered by the participant; they are able to share (or not share) whatever they like.