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Episode 58 Building an Email Health Calculator with Michael Einstein part 2

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Manage episode 225830822 series 2468779
Content provided by Francis Wade. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Francis Wade or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Ever longed for a tool that could give you feedback on the health of your email inbox? Listen in as I take on the challenge of creating one from scratch. Here in the second part of LiveLab 02, I continue working with Dr. Michael Einstein by delving into the formulae that would be at the heart of a sound email health calculator. It's no easy conversation to follow - you will probably need a paper and pencil. Months before I called Michael, I devised the following formula in my very first attempt. Score = the sum of: 1. 5.0 max(0, [2 x (total messages-unread messages-tagged messages) [ 2. 0.5 x (total messages - unread messages - incomplete tasks recalled) 3. 5.0 x (unread messages - incoming email per day)]/10) 4. # minutes spent This is where our discussion started. It moved quickly and resulted in this formula which we produced in the first part of this episode. Score = the sum of: 1. (total messages-unread messages-tagged messages) [more importance] "BlindSpot measure" 2. # read messages * (age in days -1) [more importance] "Morgue Measure" 3. # unread messages/ # incoming email per day [more importance] "Backlog Measure" 4. # threaded messages / # total messages [moderate importance] 5. # raw threaded messages [high importance] 6. # subscription email older than a day / # total messages older than a day [low importance] We took a break for about a month, then reconvened to record the second part of this episode. During the discussion, we agreed on the following elements. Score = the sum of: 1. (total messages-unread messages-tagged messages) [more important] 2a. # read non-subscribed messages * (age in days per message -1) [more important] 2b. # read subscription messages * (age in days per message -1) [more important] 3. # incoming email per day / ((#unread subs--sqrd> + #unread nonsubsc) [more important] 4. 5. # raw threaded messages - for non-subscribes using geometric growth [high importance] 6. # subscription email older than a day / # total messages older than a day [lower importance] Our next and final conversation didn't take place until 10 months later. It's captured n part 3, episode 59. Want to support the work at 2Time Labs? Here's my Patreon Link
  continue reading

30 episodes

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Manage episode 225830822 series 2468779
Content provided by Francis Wade. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Francis Wade or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Ever longed for a tool that could give you feedback on the health of your email inbox? Listen in as I take on the challenge of creating one from scratch. Here in the second part of LiveLab 02, I continue working with Dr. Michael Einstein by delving into the formulae that would be at the heart of a sound email health calculator. It's no easy conversation to follow - you will probably need a paper and pencil. Months before I called Michael, I devised the following formula in my very first attempt. Score = the sum of: 1. 5.0 max(0, [2 x (total messages-unread messages-tagged messages) [ 2. 0.5 x (total messages - unread messages - incomplete tasks recalled) 3. 5.0 x (unread messages - incoming email per day)]/10) 4. # minutes spent This is where our discussion started. It moved quickly and resulted in this formula which we produced in the first part of this episode. Score = the sum of: 1. (total messages-unread messages-tagged messages) [more importance] "BlindSpot measure" 2. # read messages * (age in days -1) [more importance] "Morgue Measure" 3. # unread messages/ # incoming email per day [more importance] "Backlog Measure" 4. # threaded messages / # total messages [moderate importance] 5. # raw threaded messages [high importance] 6. # subscription email older than a day / # total messages older than a day [low importance] We took a break for about a month, then reconvened to record the second part of this episode. During the discussion, we agreed on the following elements. Score = the sum of: 1. (total messages-unread messages-tagged messages) [more important] 2a. # read non-subscribed messages * (age in days per message -1) [more important] 2b. # read subscription messages * (age in days per message -1) [more important] 3. # incoming email per day / ((#unread subs--sqrd> + #unread nonsubsc) [more important] 4. 5. # raw threaded messages - for non-subscribes using geometric growth [high importance] 6. # subscription email older than a day / # total messages older than a day [lower importance] Our next and final conversation didn't take place until 10 months later. It's captured n part 3, episode 59. Want to support the work at 2Time Labs? Here's my Patreon Link
  continue reading

30 episodes

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