Segment 10 (2020) Data for Decisions - Thursday, November 12 - 11:30 AM to 12:30 PM Eastern USA

[Paul Terlemezian]

Overview: What are the new questions you are asking about old problems? What new answers are you seeking to old questions? Where are you open to new questions and new answers?

Panelists:

• Bill Crose - https://www.linkedin.com/in/billcrose/
• Josh Felix https://www.linkedin.com/in/joshfelix/
• Jamie Mulkey https://www.linkedin.com/in/jamiermulkey/
• Jerry Sutton https://www.linkedin.com/in/jerryksutton/

Moderators:

Remarkable Speakers:

• Mary Ritz https://www.linkedin.com/in/mary-ritz-phd-934a699/

[Josh Felix]

What is the most important piece of learning data for both the learner as well as the learning professional?

[Paul Terlemezian]

The answer to this question:

If you knew then - what you know now - what would you have changed about what you hoped to learn then?

[Jerry Sutton]

Outcomes

[Paul Terlemezian]

What is your reaction when you hear someone states "research has shown" - does this:

• win their point
• reveal the bias of the source
• reveal the bias of the "someone"

Do all facts matter? Who determines which facts matter? Do facts need to be validated? Do facts have an expiration date?

[Jerry Sutton]

Paul,

I think I would respond that none of the alternatives necessarily fit.  They might if someone was trying to sell a product or service; however, it could be a statement of fact.  For example, research has shown that those people who are deemed medically fragile based on "x" criteria are more likely to have a greater struggle with COVID-19 than an otherwise healthy population group of 20-30 year old people.

Facts matter regarding relevance.  As a contentious example, if 1,000+ people who were dead in 2019 but voted in the 2020 election and the ballot submissions are validated, then absolutely, facts matter.  At least in the eye of the beholder; however, at the same time, those very same facts may not matter, even if substantiated, if the irregularity is still ignored by "those in power", despite the shadow of doubt that is now cast on the process.  The real answer is that it depends on which side you're on.

[Mary Ritz]

How are you leveraging data for customer centricity?  Are all your customers equal and do you believe that the 'customer is right?"  How does data inform your response?  

[Jerry Sutton]

If outcomes validate customer requirements are being met or exceeded, then centricity could potentially be validated.  It depends on the product or service comparison.