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In this episode, Dave and Jamison answer these questions:
I recently started listening to your podcast from the very start of the show! One of the largest differences I noticed (aside from the audio quality, lol), is how often you used filler words like “um”. How on earth did you manage to stop using them? In work presentations and demos, I often end up using the filler words, and listening to the recordings later is painful. The rehearsed parts of the presentation go smoothly, but as soon as I go out of the “script”, I start depending on filler words. How do I get better at this?
How exactly should spikes go? I’ve done some deep dives to understand the scope and steps of an upcoming effort, all with detailed write-ups, only to later realize during the implementation that I got some things wrong or missed out some important details. Isn’t that the point of a spike, to root out any unknowns or surprises? Short of just doing the actual implementation, which I’m pretty sure is also missing the point of a spike, What am I doing wrong and how can I properly present post-spike findings to my team?
By Jamison Dance and Dave Smith4.8
284284 ratings
In this episode, Dave and Jamison answer these questions:
I recently started listening to your podcast from the very start of the show! One of the largest differences I noticed (aside from the audio quality, lol), is how often you used filler words like “um”. How on earth did you manage to stop using them? In work presentations and demos, I often end up using the filler words, and listening to the recordings later is painful. The rehearsed parts of the presentation go smoothly, but as soon as I go out of the “script”, I start depending on filler words. How do I get better at this?
How exactly should spikes go? I’ve done some deep dives to understand the scope and steps of an upcoming effort, all with detailed write-ups, only to later realize during the implementation that I got some things wrong or missed out some important details. Isn’t that the point of a spike, to root out any unknowns or surprises? Short of just doing the actual implementation, which I’m pretty sure is also missing the point of a spike, What am I doing wrong and how can I properly present post-spike findings to my team?

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