What is a team speaker directory?
It's the set of voices Remindr has learned. Once a teammate is assigned, their voice is matched on future recordings, so transcripts and summaries name people instead of saying 'Speaker 2'.
How does shared memory help a team?
Decisions, action items and the reasons behind them are captured and searchable, so context survives turnover and new teammates can ask the memory instead of pinging everyone.
Can we organize team knowledge?
Yes. Collections group related notes and meetings, and chat answers across everything with citations, so the team trusts and can trace what it's told.
How do new teammates get up to speed?
Instead of scheduling a round of catch-up calls, a new hire can ask the shared memory directly — 'What did we decide about the pricing model?' or 'Who owns the onboarding revamp?' — and get cited answers drawn from the meetings that actually happened, with links back to the source and date. Context that used to live in a few people's heads becomes something the whole team can query on day one.
Does the speaker directory keep improving?
Yes, and the benefit compounds. Every time someone assigns a voice, the directory gets a little more complete — the more your team records, the more of your recurring participants are named automatically, clients and partners included. You label a person once; Remindr recognizes them on every future recording, so nobody re-tags the same speaker twice.
Frequently asked questions
Does relabeling a speaker fix old notes?
Yes. When you assign a speaker, Remindr re-derives that meeting's summary and memory with the corrected name, so the note and chat stop saying 'Speaker 2'.
Can we search across everyone's meetings?
Yes. Chat answers across the notes and meetings you have access to, with citations back to the exact source and date — so you can ask one question instead of pinging five people.
What happens to our memory when someone leaves?
The decisions, action items and reasoning captured in meetings stay in the shared memory, so context survives turnover instead of walking out the door with the person who held it.
Is team data secure?
Recordings and transcripts are encrypted and never used to train shared models. Each member's data is access-controlled.