How to run an employee engagement survey as Foundation and Nonprofit Ops Teams
Your four-person ops team runs an annual staff engagement survey the same way it's been done for years: a SurveyMonkey form someone built, results exported to a Google Sheet, a week of manual pivot tables to cut the data by department or tenure, and a slide deck assembled the night before the all-hands. You never have a clean picture of whether grant program staff feel differently than operations staff, whether remote employees answered at lower rates, or whether scores moved year-over-year — because stitching that together from a spreadsheet and a presentation tool takes more time than you have. The purpose-built HR survey platforms assume an HR department. You don't have one.
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 Paylocity data on a schedule (employee list, departments, employment types, tenure) to power response-rate tracking. SurveyMonkey results are pulled via browser automation — no API needed — or exported to Google Drive and connected from Starch's integration catalog; the agent queries it live when the dashboard runs. Gmail is connected directly by Starch to handle survey invitation and reminder emails. Slack is available from Starch's integration catalog for daily status pings.
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 All-Staff Engagement Survey — Grantwell Foundation (22 staff)
| Overall engagement score | 74 |
| Program staff score | 79 |
| Operations staff score | 67 |
| Response rate — program | 92 |
| Response rate — operations | 71 |
| Year-over-year change (overall) | 3 |
Grantwell's ops team launched a 22-question survey in May 2026. Starch pulled the current employee list from Paylocity — 22 staff across program, operations, and finance — and built a response-rate tracker that flagged operations at 71% on day 8 (below the 75% target), triggering an automatic reminder email drafted by the Email Agent and sent the same afternoon. Final response rate came in at 86% overall. The results dashboard, built on a Google Drive export of the SurveyMonkey data, showed an overall score of 74 — up 3 points from Spring 2025 — but flagged a 12-point gap between program staff (79) and operations staff (67), driven by low scores on 'workload is manageable' and 'I have the tools I need to do my job.' The board packet summary, generated in Starch in under five minutes, led with the response rate and overall score, named the program/operations gap directly, and noted management's commitment to a Q3 ops team working-conditions review. Total staff time to run the full cycle: about 4 hours, down from the 14 hours it took the prior year with manual pivot tables.
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 — task manager, knowledge management, email agent 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
We only have 22 staff. Is it worth building an automated survey workflow for something this small?
We currently use SurveyMonkey. Do we have to switch?
Our employee list lives in Paylocity. Does Starch actually connect to that?
Our board wants engagement data in the annual audit committee report. Can Starch format it for that?
We don't have historical survey data in a consistent format. Can Starch still do year-over-year comparisons?
Is Starch SOC 2 certified? Survey responses include staff sentiment data we'd want to handle carefully.
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Read guide →Ready to run run an employee engagement survey on Starch?
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