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one meeting is noise. the point of training mode is the trend across weeks. this page is a practical workflow for measuring whether you’re actually getting better.

pick one metric

don’t try to fix everything at once. pick one metric for the next 2-4 weeks. good candidates:
  • fillers per minute - easiest to move, visible to you and listeners
  • talk ratio - best if you’ve been told “you talk too much” or “you’re too quiet”
  • longest monologue - best if calls feel one-sided
  • pace - best if people ask you to slow down or speak up
if you’re unsure, start with fillers. it’s the most measurable and the hardest to fake.

baseline before you change anything

  1. record 5-10 meetings without trying to improve
  2. note the metric for each in a list
  3. compare similar meeting types only - don’t compare a solo demo to a 5-person standup
  4. take the median, not the average. one noisy meeting shouldn’t set your baseline

how to structure a coaching cycle

week 1 - baseline

  • don’t change behaviour. record normally
  • at the end of the week, pick a target: “fillers/minute from 6 to 3” or “longest monologue under 250 words”
  • write the target down (notes panel on any meeting works)

weeks 2-3 - deliberate practice

  • one behaviour change per week. see specifics in filler words and delivery metrics
  • check the metric after each relevant meeting
  • expect regression - the metric often gets worse before it gets better because you’re self-conscious

week 4 - evaluate

  • compare your median from week 4 to your week 1 baseline
  • if the metric moved, lock in the habit and pick the next one
  • if it didn’t, check you were actually applying the behaviour change. look at the longest segments from bad meetings and ask why

comparing like meetings

training metrics are context-dependent. don’t aggregate discovery calls with internal standups. a useful mental filter:
  • meeting type: discovery, demo, interview, 1:1, standup, presentation
  • who’s in it: customer, colleague, candidate, manager
  • your role: driver, listener, presenter, interviewer
compare like for like. if you’ve done 3 discovery calls this week and the average fillers/minute is trending down, that’s a real signal. one discovery call vs one standup tells you nothing.

using markdown export for external tracking

if you want to plot the metric over time in a tool you control:
  • enable auto markdown export on macos: settings → integrations → auto markdown export
  • each saved meeting lands as a markdown file with all training metrics in the front matter
  • use webhooks to post every saved meeting into a spreadsheet, notion, or linear
example: zapier scenario that extracts meeting.training.speakers[0].fillersPerMinute from the webhook payload and appends to a google sheet. see webhook recipes.

signals you’re actually improving

not just “the number went down”:
  • fewer edits when you play the meeting back. you used to want to re-record; now you don’t
  • people stop commenting on the thing you were working on
  • the metric holds under pressure - a stressful call doesn’t regress you to your old baseline
  • you notice in real time. you catch yourself about to say “um” and pause instead
the metric is a mirror, not the goal. when the behaviour becomes automatic, you can move on.

signals you’re gaming the metric

if your number improves but your meetings feel worse:
  • fillers down, pace down, clarity number up, silence up = you’re overthinking and sounding uncertain. the metric is fine; the experience isn’t. loosen up
  • talk ratio down but you stopped adding value = you swung too far. the goal wasn’t “talk less”, it was “talk less when they need to talk
  • questions up but they’re all leading = more ?s don’t help if you’re not actually listening
the metric is a cue, not a constraint. if it conflicts with the experience, trust the experience.

monthly review ritual

once a month (10 minutes):
  1. open meeting history, filter by meeting type
  2. scan the training pane on each
  3. note patterns: did you regress? improve? stay flat?
  4. pick next month’s target
if you use markdown export, grep for the metric across your notes folder and sort by date.

troubleshooting

  • metrics look empty - the meeting had no transcript content, or all segments were marked interim. see troubleshooting
  • numbers feel wrong - check you’re in the right language. an english filler list won’t catch spanish fillers
  • a bad meeting looks good - the metric measures what was said, not how it landed. use it alongside self-reflection, not instead of it

see also