Politeness Levels Without the Panic
You can get far with three modes: casual (friends), polite です・ます (default public), and set phrases for formal situations. Don’t overfit 敬語 early. Learn the few patterns you hear constantly and keep listening.
You can get far with three modes: casual (friends), polite です・ます (default public), and set phrases for formal situations. Don’t overfit 敬語 early. Learn the few patterns you hear constantly and keep listening.
Health scores work when they are legible and predictive. Keep the inputs few, stable, and behavior-based (e.g., activation milestones met, usage depth/recency, key feature adoption). Write the attribution rules down so you can explain changes. If you can’t predict churn or expansion better than chance, your model is a vanity metric—fix the inputs before tuning…
Treating product‑market fit like a light switch leads to two failures: forcing growth into a hollow core or missing the window to scale. I break PMF into three questions: 1) Can we repeatedly reach the right users? 2) Do they convert for the reason we think? 3) Does value compound enough to keep them? Evidence…
QBRs drift into slide parades. Run “value reviews” instead: restate the customer’s outcomes, show what moved, and agree on the next two experiments. Skip vanity metrics. End with a one‑page summary the exec can forward without translation.
Support resolves issues; Digital CS drives behavior change at scale. Think three loops: 1) Teach the next action (contextual nudges beat blasts) 2) Detect risk early (silence and strange patterns both matter) 3) Reward progress (show momentum) If ops, data, and CS are aligned, these loops reduce human workload while improving outcomes.
Learn kanji by frequency and utility. Pair recognition with a single example word you’ll actually see. Don’t memorize exotic readings early. If it’s not in your daily input, it can wait.
If execution crowds out thinking, block two 90‑minute “maker” sessions per week. Protect them like meetings. No Slack, no email. Use them for deep work or walking reviews. Most teams don’t need more hours; they need more unbroken ones.
If a component is on the right side of a Wardley map (product/commodity), default to buy unless it’s a differentiator or a constraint. If it’s left (genesis/custom), default to build if it underpins your unique value. Revisit quarterly.
Attractive aggregate metrics can conceal the details we need to make informed decisions. Separate activity from effect and keep the math boring and consistent. Useful, defensible formulas:
Ideal Customer Profile (ICP) asks “who is our best-fit buyer?” Product–Market Fit (PMF) asks “does this product consistently create value for them?” ICP is a targeting constraint. PMF is an evidence threshold. Sequence matters: tighten ICP to reduce noise, then evaluate PMF with behavior, not opinions.