Audit interview feedback and report via Slack with AI and Google Sheets
This sophisticated automation uses AI to evaluate the quality of interviewer feedback by checking for bias, specificity, and adherence to the STAR method. It transforms unstructured notes into actionable quality scores, delivering real-time coaching and training recommendations directly to hiring teams via Slack. By maintaining a detailed audit log in Google Sheets, it ensures every recruitment decision is backed by high-quality, objective data.
Run this with your team's AIWhat This Recipe Does
The Interview Quality Audit automation streamlines the post-interview review process to ensure hiring standards remain high and consistent across your organization. By connecting your interview data in Google Sheets with Slack notifications, this workflow automatically analyzes candidate evaluations and flags inconsistencies or high-priority results for immediate review. Instead of manually auditing dozens of interview scorecards, talent acquisition leaders can rely on this system to identify top-tier talent and potential hiring biases in real-time. This automation acts as a quality control layer, ensuring that every hiring decision is backed by standardized data and that stakeholders are alerted the moment an interview is completed. By centralizing the audit process, your team reduces the risk of losing great candidates to slow feedback loops and improves the overall integrity of your recruitment pipeline. The result is a more professional candidate experience and a data-driven approach to building your workforce.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google Sheets, Bot for Slack connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Sheets and Bot for Slack once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Talent Acquisition Managers use this to monitor interviewer consistency and ensure all departments follow company-wide scoring rubrics.
- HR Directors use this to detect potential bias or outliers in interview feedback before a final hiring decision is made.
- Recruiting Operations teams use this to automate the reporting of interview completion rates and scorecard quality to executive leadership.
Frequently Asked Questions
Do I need to manually enter data into Google Sheets for this to work?
The workflow is designed to pull from an existing Google Sheet. You can link it to your existing recruitment tracker or applicant tracking system to ensure data flows automatically.
Can I customize the criteria for what triggers a Slack notification?
Yes. The logic within the workflow can be adjusted to flag specific scores, keywords, or incomplete evaluations based on your unique hiring requirements.
Does this require any coding knowledge to maintain?
While the workflow uses a code module for advanced data processing, Runwork allows you to manage the application interface and basic settings without writing code.
Which Slack channels will receive the audit alerts?
You can configure the workflow to send alerts to private recruitment channels, specific hiring managers, or general HR notification hubs.
Coming from n8n?
This recipe uses nodes like ManualTrigger, StickyNote, GoogleSheets, Langchain.lmChatAzureOpenAi and 4 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork