How to run an employee engagement survey as Professional Services Founders
You run a 12-person consultancy and every six months someone on Slack asks whether people feel heard, you say 'good question,' and then it never happens because you're billing 60-hour weeks. When you do run a survey, it's a Google Form cobbled together in 20 minutes, results sit in a Sheet nobody revisits, and three months later your best senior consultant resigns and says 'I've been telling you this for a year.' You don't have an HR team. You have Paylocity or ADP for payroll, Slack for noise, and a gut feeling. The insight you need is sitting in those tools — you just have no system to collect, surface, and act on it.
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 employee roster data on a schedule to pull the current team list automatically. Gmail is connected as a scheduled-sync provider so survey invitations go out and responses get tracked through your existing inbox. Slack is connected from Starch's integration catalog; the agent queries it live to cross-reference team activity signals. Notion is connected as a scheduled-sync provider to store the survey playbook and historical results in your knowledge base.
Step-by-step
See this running on Starch
Connect your tools, describe what you want, and the agent builds it. Closed beta is free.
Q1 2026 Engagement Pulse — 11-person consultancy, strategy practice
| Responses collected (of 11 sent) | 10 |
| Average sentiment score (1–10) | 7 |
| Flagged high-signal responses (workload theme) | 3 |
| Days from survey close to 1:1s completed | 9 |
| Open tasks created from survey follow-up | 5 |
You run the survey on March 3rd. Starch pulls 11 names from Paylocity (one person is on leave — Starch flags them as excluded). Ten respond within the 7-day window; one gets a nudge on day 5 drafted by the Email Agent and responds the same afternoon. Results come in: average sentiment is 7.0 out of 10, down from 7.8 in Q4 2025. Three verbatim responses surface under the 'workload' theme — all from your two most senior consultants and one mid-level hire who joined eight months ago. Starch cross-references Google Calendar: those three averaged 6.1 billable client meetings per week in February versus a team average of 4.3. The dashboard makes the correlation visible in 30 seconds. You didn't need to pivot a spreadsheet to see it. Starch creates five P1 tasks in the Task Manager: three 1:1s flagged urgent, one task to revisit staffing ratios for the Q2 project pipeline, one task to update your project assignment process in the Notion playbook. You complete all three 1:1s by March 12th — nine days after survey close. The senior consultant who would have updated her LinkedIn in June instead gets a 20% reduction in concurrent client load starting April 1st.
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 11 people. Isn't this overkill?
Will my team know Starch is analyzing their responses?
Can I keep responses anonymous?
Is my employee data safe? Do you have SOC 2?
What if my team uses Slack more than email? Can the survey go out over Slack?
Can Starch build the survey questions for me or do I have to write them myself?
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Read guide →Ready to run run an employee engagement survey on Starch?
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