Feedback given and received, tracked across the team, so reviews write from evidence.
Feedback evaporates. The specific praise from March and the course-correction from May are both gone by review season, replaced by whatever happened in the last two weeks.
Recency bias runs every review that is not fed with a record. The record is the fix.
This routine tracks feedback across your team: what was given, what was received, and the specifics attached, kept current all year.
Review season becomes an assembly job instead of a memory test, and people get evaluated on their whole year.
Copy this prompt into a new Littlebird routine. Edit the days and times to fit your schedule.
Every Friday summarize feedback I gave and received this week and flag any patterns
Chat skills wait for you. Routines do not.
With a Claude or ChatGPT skill, you are the integration: copy the email, paste the calendar, explain the background, then carry the answer back out.
Littlebird skips the middleman. It reads the sources directly, runs on your schedule, and your data is never sold or used to train a model.
No. It is your private record as a manager, kept in your Littlebird -- the raw material reviews want.
No. It is your ledger. What you share, and when, stays with you.
Yes. Note it in your meetings or threads and the routine folds it in.
Windows support is not here yet. Littlebird runs on Mac, and the waitlist on the site is the fastest way to know when that changes.
The company does not sell what it sees and does not train on it either, holding SOC 2, GDPR and CCPA aligned standards.
Put Littlebird to work.
