Employee Salary Question → AI Analysis → Personalized Response + Follow-up

Build a confidential Typeform where employees can submit compensation questions. Include fields for their role, department, years of experience, current concerns (underpaid, promotion timeline, market rates), and specific questions. Use conditional logic to gather relevant context based on their situation type.

Connect Typeform to Zapier to trigger when new submissions arrive. Use Zapier's lookup tables to enrich submissions with internal data like pay bands, department budgets, recent promotion rates, and company compensation philosophy. This contextual data will inform the AI response.

Use Zapier's ChatGPT integration with a custom prompt that includes the employee's question, their role context, company compensation data, and HR policies. Generate personalized advice covering market positioning, internal career paths, skill development recommendations, and appropriate next steps for their situation.

Automatically send the personalized compensation guidance to the employee via Gmail, maintaining confidentiality. Include relevant resources like internal career frameworks, skill development programs, or manager discussion templates. Create a follow-up calendar reminder for HR to check in after 30 days.

Log all questions and responses in Google Sheets to identify common compensation concerns across departments. Track metrics like question volume, satisfaction ratings, and follow-up outcomes. Use this data to improve AI responses and identify systemic compensation issues that need HR attention.