Scott Hale

Explorer, Outdoors Enthusiast, residing at the interesection of data wrangling, analytics, and product management.

[Scott Hale @shale34]

@dklineii To clarify, what is the ultimate responsibility of high-performance leaders?

Is the measure based on whether the leaders are making complex decisions or creating an environment that enables their teams to make high-quality decisions as timely as possible?

[Scott Hale @shale34]

@dklineii +1-Labeling decision as reversible or non-reversible is a key step in deciding the appropriate level of rigor for the process. For reversible decisions, the decision should be made as quickly as possible, while for non-reversible decisions, it should be made as late as possible.

[Scott Hale @shale34]

@dklineii Do you differentiate between leaders and executives? If a leader commits one of these mistakes it is coachable. If executives commits a mistake (i.e. not delegating) the impact is larger.

Are executives expected to have a level of mastery in these areas as a baseline?

[Scott Hale @shale34]

With Excel’s Solver, is there a short circuit in the constraint engine that doesn’t evaluate all variables in a range?

[Scott Hale @shale34]

@KWCHShawn @KWCH12 In the second pic (one with right side of roof line) what is in sky?

[Scott Hale @shale34]

@stevecheney Do you have an example? Assuming once a skill is consistently applied it is no longer classified as hidden.

[Scott Hale @shale34]

@sachinrekhi Could this be a topic of a future blog post? Fingers crossed.

[Scott Hale @shale34]

@CoachBredbenner listened to the radio show this evening on KFH. Appreciate you sharing the impact individual character and team culture has in your program. Do you have any advice/resources for youth athletes (and their parents) as they prepare (mental prep, resilience, etc)?

[Scott Hale @shale34]

@shreyas Could you extend the skills map to a radar chart to map ideal and actual performance? The shape of ideal helps identify base expectations. Gaps between states signal opportunities for improvement or exceeding expectations. Also helps gauge the complimentary nature of the team

[Scott Hale @shale34]

@KWCHSarah @KWCH12 Perhaps it is just me, but having a color deficiency, the colors selected for this graphic make it difficult to distinguish between the warning area.

[Scott Hale @shale34]

@klefto More likely, a princess locked in a castle, some might call it quarantined

[Scott Hale @shale34]

@klefto Any chance the neighbor is named Luigi?

[Scott Hale @shale34]

@semil @fredwilson Regardless of how these “prediction” post age, they are valuable for sharing a snapshot point of view, which informs how we make decisions with limited information. Having people willing to share their POV creates value for the community. Look forward to digesting your insights

[Scott Hale @shale34]

@shaneparrish @schlaf

[Scott Hale @shale34]

@nikhyl Enjoyed the post and related article on the First Rounds blog. Thanks for sharing the content.

[Scott Hale @shale34]

@schlaf @NotionHQ Thoughts so far? Continuing the practice?

[Scott Hale @shale34]

@Delta, I didn’t catch the names of the two gate agents in MSP working at C14 this evening, but they were knowledgeable, helpful, and friendly. They made a long day of travel a little less painful, perhaps, even fun

[Scott Hale @shale34]

@lara_hogan Happy Birthday. Recently been working with a few people new to supervising (with a lot of help from your blog posts). Exciting to see their development and how their teams are responding and delivering.

[Scott Hale @shale34]

@HumeKathryn @jeremystan Based on this workflow, who owns the ongoing maintenance of the model after deployment?

[Scott Hale @shale34]

@HumeKathryn @jeremystan Perhaps semantics, but based on these definitions assuming ML scientists is synonymous with data scientist in this work flow? Agree with premise on the division of labor between the scientists and engineer is critical for the move to production.