Data into Decisions

X-Rays don’t mend broken legs, so now we’ve drilled down into the data that tells us how our people are perceiving our workplace and its services, what are we going to do about it.

Turning Data into Decisions means a plan of action now, as well as a framework for the future, how we continue to act and react to the information our metrics are telling us, and which of them matter most. (How much of this can we harness AI to augment?)

Sentiment into Strategy

Prevailing winds can be very useful, and having a feel for the satisfaction of your service consumers is critical, but turning those vibes into tangible roadmaps at the strategic level, with Value Drivers, KPIs and OKRs is part science, part art-form.

The question on everyone’s lips once the sentiment analysis is done is almost always: Now What?

We should talk about that.  (How much of this can we harness AI to augment?)

Executing on XLAs

Is your XLA one new metric on your dashboard with a touchy-feely word in the the question? We believe that an eXperience Level Agreement should be just that: An agreement, with broad sweeping intentions to raise the level of experience, and in a way we can all agree on.

That means your XLA isn’t one emotive KPI or a live feed of feelings, but a comprehensive charter to deliver better experiences, focus on people and their perceptions, and finesse processes that power their performance.

It’s also a space where the metrics that matter can live. We can’t say what they are yet, and you can bet they will change and evolve as time goes by, but an XLA will absolutely start with:

“We, the undersigned, promise to put experience at the centre of everything we do, and here’s how…”

gAInSpace – Using the room that AI gives us to do more, and be better

AI absolutely is here to help us, and, there absolutely will be savings as we offload the menial management of our day to day personal and work lives onto the robots, even if they do live in the cloud and won’t do our hoovering. How do we make sure that the way we introduce AI into the human workplace experience feels far more intelligent, and much less artificial. Transitioning tasks, accelerating adoption, and retaining the knowledge in your business before leaving a large language model to guess at your processes is a delicate and tricky transformation. Plus, once you’ve got a ChatBot, Now What?  (How much of this can we harness AI to augment?)