Monitor new Typeform submissions, filter reviews by rating, and log positive and negative feedback into separate Google Sheets.
This AI agent processes Typeform submissions from start to finish. It extracts ratings and comments, classifies reviews as positive or negative, and routes them to separate Google Sheets. The data is stored with timestamps and respondent details for auditing and reporting.
Ingests, filters, and stores Typeform feedback into Sheets.
Ingests new Typeform submissions.
Extracts relevant fields (rating, comment, respondent data).
Classifies reviews as positive or negative using the rating threshold (above or below 3).
Writes positive reviews to the Positive Feedback sheet.
Writes negative reviews to the Negative Feedback sheet.
Logs metadata and errors for auditing.
This AI agent replaces fragmented manual work with a predictable execution flow.
A simple three-step flow for non-technical users.
The AI agent waits for a new Typeform submission and begins processing the data.
It extracts the rating and comments, then classifies the feedback as positive if rating is greater than 3, otherwise negative.
The agent writes the entry to the appropriate sheet (Positive or Negative) with a timestamp and respondent info; it also logs any errors.
A realistic daily scenario showing result and timing.
Scenario: A product survey receives 25 Typeform responses in a day. The AI agent processes each submission within minutes, writing 14 positive reviews to the Positive Feedback sheet and 11 negative reviews to the Negative Feedback sheet. Each row includes respondent data (if provided), rating, comment, and a timestamp for auditing.
Key roles that gain concrete workflow improvements.
Quickly gauge sentiment on features from Typeform feedback.
Triage feedback to address common praise or pain points more efficiently.
Surface usability issues from negative feedback for prioritization.
Receive clean, structured feedback data ready for analysis.
Identify positive comments to repurpose as testimonials.
Maintain auditable feedback logs across teams.
The AI agent coordinates data between Typeform and Google Sheets.
Triggers on new submissions and passes form data to the AI agent for processing.
Appends processed entries to two sheets (Positive and Negative) with structured fields and timestamps.
Where the AI agent delivers concrete workflow outcomes.
Practical answers to common questions.
Yes. You can configure the agent to listen to multiple Typeform forms, map fields appropriately, and route results to the correct sheets. It supports per-form thresholds and field mappings so you can tailor risk and sentiment per form. If a form updates its fields, the agent can adapt by re-mapping data in the next submission. It maintains a consistent data schema for downstream reporting, regardless of form variations.
Submissions without a rating are logged with a note indicating the missing rating. They are excluded from the positive/negative routing until a rating becomes available or a default rule is applied. You can configure a fallback threshold or route such entries to a separate 'Unrated' sheet if desired. The audit trail remains intact with the original raw data for review.
Yes. The threshold is configurable (for example, above or below 3). You can adjust it to fit your survey design. The change applies to all subsequent submissions and is logged for traceability. If needed, you can use per-form thresholds to reflect different scoring schemes.
Data is processed within your configured environment and relies on the permissions you grant for Typeform and Google Sheets. Access controls can restrict who views the sheets and logs. The agent does not expose data outside these connectors unless explicitly configured. For highly sensitive data, consider adding additional privacy measures and review logs regularly.
The agent stores data to Google Sheets when the service is available. If Sheets are offline, the agent can queue submissions or retry periodically. Once connectivity is restored, queued entries are appended with correct timestamps. It also logs retry attempts for visibility and debugging.
Yes. You can configure the names of the destination sheets (e.g., Positive Feedback and Negative Feedback) or point them to existing sheets. The agent enforces a consistent header structure to ensure data remains aligned. Changes are reflected in subsequent submissions and do not affect past entries. Documentation is updated to match the new sheet configuration.
You can simulate submissions or use a test form to verify routing before going live. The agent provides a dry-run mode that reports what would be written and where. Review the audit log to confirm field mappings and thresholds, then enable live processing. Ongoing monitoring helps catch edge cases and refine mappings over time.
Monitor new Typeform submissions, filter reviews by rating, and log positive and negative feedback into separate Google Sheets.
