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Product Research

Plan and execute research to identify challenges teams face when integrating AI agents into Mattermost, with the goal of validating the need for a no-code middleware solution. Findings will guide product direction and core feature design.

Daniel Marr

Objective:
Conduct focused research to validate the need for a middleware platform that connects AI agents to Mattermost with minimal configuration.

Goals:

  • Understand current friction points teams face when integrating AI agents into Mattermost
  • Identify existing workflows involving Mattermost bots, webhooks, and external automation tools
  • Evaluate how popular no-code platforms like Zapier, n8n, and Flowise are being used for AI tasks
  • Explore the limitations of Mattermost’s native bot system regarding message routing, access control, and extensibility
  • Define a core user persona and primary use cases based on real-world pain points

Outcome:
Insights gathered will shape the product direction and determine whether a no-code, permission-aware middleware layer for AI bots is a validated problem worth solving.