Research Assistant from Meeting Discussions
Convert brainstorming sessions and strategy meetings into a queryable research database that remembers context and provides insights for future decisions.
Workflow Steps
Otter.ai
Record and transcribe meetings
Set up automatic recording for recurring strategy meetings, brainstorms, and decision-making sessions. Configure Otter to provide detailed transcriptions with speaker identification and timestamps.
Make (Integromat)
Process and structure data
Create an automation that takes Otter transcripts, uses OpenAI to extract key decisions, action items, discussed topics, and strategic context, then formats this data with meeting metadata (date, attendees, project).
Airtable
Build searchable meeting memory
Store processed meeting data in Airtable with linked records for projects, people, and decisions. Use Airtable's AI features to enable natural language queries like 'What did we decide about the Q4 product roadmap?' across all stored meetings.
Workflow Flow
Step 1
Otter.ai
Record and transcribe meetings
Step 2
Make (Integromat)
Process and structure data
Step 3
Airtable
Build searchable meeting memory
Why This Works
Creates persistent organizational memory that prevents repeated discussions and helps maintain decision context across long project timelines
Best For
Leadership teams and project managers who make frequent decisions and need to reference past discussions
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