How to run a performance review cycle as Educators, Coaches, and Course Creators
You run a cohort-based course or coaching practice with somewhere between 50 and 500 students, and 'performance review' for your team means a Google Form you built in 2023, a spreadsheet you dread opening, and a Calendly link you send to your one part-time ops contractor hoping they actually book the call. There's no HR system — you're not paying for Lattice or Culture Amp for a two-person team. So reviews happen late, the feedback lives in a shared Doc nobody revisits, and any coaching you promised your team or your teaching assistants gets buried under the next cohort launch. You end up managing people reactively, not intentionally.
What you'll set up
Apps, data, and prompts
The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.
Starch syncs your Google Calendar data on a schedule so it knows when cohort cycles end and can trigger review reminders at the right time. Starch syncs your Notion data on a schedule to pull in docs, meeting notes, and any existing team wiki content as context for reviews. Slack is connected from Starch's integration catalog; the agent queries it live to surface relevant threads when you're prepping for a specific team member's review. Calendly is connected from Starch's integration catalog so scheduled 1-on-1 review calls appear automatically in your workflow.
Step-by-step
See this running on Starch
Connect your tools, describe what you want, and the agent builds it. Closed beta is free.
Spring 2026 Cohort — TA Review Cycle (May 2026)
| Active teaching assistants reviewed | 3 |
| Action items extracted from 3 review calls | 11 |
| Action items that would have been lost without capture | 7 |
| Hours spent on review admin (vs. prior cohort) | 2 |
| Hours spent on review admin prior cohort (manual process) | 6 |
After the Spring 2026 cohort closed, you had three TAs to review — Maya (live session facilitation), Priya (community moderation), and Dan (grading). In prior cohorts, you'd email them a Google Form, schedule a call a week later, take rough notes in a Doc, and forget to follow up on half of what you discussed. This time: two weeks before cohort end, Task Manager fired P2 reminders for each review. You opened each team member's project card, asked Starch to pull a context brief — it surfaced a Slack thread where Maya had handled a difficult student complaint well, a Notion doc Priya had updated three times, and an open task Dan still hadn't closed from the previous review. The 45-minute calls each generated a Meeting Notes summary. Starch extracted 11 action items total and pushed them into the tracker with due dates. Priya's card moved to Follow-up because she has an agreed goal to build a new student FAQ doc by June 15. You spent about 2 hours on the whole cycle instead of the 6 it took last cohort, and for the first time, you have a record you'll actually open before the next review.
How you'll know it's working
What this replaces
The other ways teams handle this today, and how the Starch version compares.
One platform — meeting notes, knowledge management, task manager all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.
Try it on Starch →Frequently asked questions
I only have one or two TAs. Is this overkill for a team that small?
My TAs are contractors, not employees. Does a formal review process even make sense?
Does Starch integrate with Kajabi, Teachable, or Thinkific to pull student completion data into reviews?
What if I don't use Zoom? My review calls happen on Google Meet.
Is my team's review data stored securely? Starch isn't SOC 2 certified.
Can Starch send the review summary to the TA automatically after the call?
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Read guide →Ready to run run a performance review cycle on Starch?
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