Voice-to-Smartsheet Maintenance Task Entry

Summary

The requester wants to speak maintenance tasks aloud and have them automatically populate into an existing Smartsheet maintenance tracker. The system should capture the task description plus context like location, timing, and assignment from natural spoken input.

Problem

Currently, the requester must manually type maintenance tasks into Smartsheet, which is time-consuming and interrupts workflow when tasks need to be logged quickly in the field or on-the-go.

Users affected

Solo user (the submitter), who manages a maintenance operation and needs to log tasks as they arise.

Current process

Tasks are manually entered into Smartsheet by typing each field (task description, location, due date, assigned person, etc.).

Desired process

User speaks the task aloud (e.g., 'Clean the floors in Building A by Friday, assign to John'), and the system automatically parses that input and creates a new row in the existing Smartsheet with the correct columns populated.

Systems involved

Smartsheet (existing maintenance sheet with columns already configured); speech-to-text service (e.g., Whisper, Google Speech-to-Text, or similar); natural language processing to extract structured data; Smartsheet API for row creation.

Inputs

Spoken task description including: task name, location/area, due date or timing, assigned person. Example: 'Clean the floors in Building A by Friday, assign to John.'

Outputs

A new row added to the Smartsheet maintenance tracker with fields populated: Task, Location, Due Date, Assigned To (or whatever columns exist in the sheet).

Must-haves

Voice input that captures task details; automatic parsing of spoken input to extract task, location, timing, and assignment; integration with Smartsheet API to create rows; works with the existing Smartsheet structure (columns already set up).

Nice-to-haves

Mobile app or voice assistant integration (e.g., via phone or smart speaker); confirmation feedback ('I added: Clean the floors in Building A, due Friday, assigned to John'); ability to edit or cancel before submission; support for batch entry (multiple tasks in one session).

Risks / Unknowns

Accuracy of natural language parsing for varied task phrasing; how to handle ambiguous input (e.g., 'tomorrow' vs. specific date); authentication and API token management for Smartsheet; whether the existing Smartsheet columns are standardized enough for automated mapping; error handling when speech-to-text fails or misinterprets input.

Feasibility

Moderately complex but achievable. Voice-to-text is straightforward with existing APIs. The challenge is reliably parsing free-form speech into structured Smartsheet fields without extensive training or user correction. This likely needs a simple NLP layer (e.g., OpenAI GPT or custom entity extraction) to map spoken phrases to columns. If the column structure is consistent and the user is willing to speak in a semi-structured way, this is a viable automation.

Recommended next step

Share a screenshot or export of the existing Smartsheet columns so we can design the parsing logic to match the actual schema. Then prototype a voice input → structured data → Smartsheet row workflow using a tool like Make, Zapier, or a custom script with Whisper + GPT + Smartsheet API.