CoHear Blog
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Browse every article on meeting notes, workflows, research, and the work that follows a conversation.
- workflowsWhat Happens When Nobody Owns the Follow-Up?A team can agree on a next step and still leave it undone when responsibility is shared only in theory.
- workflowsWhy Teams Confuse Activity With ProgressA full calendar and a long list of tasks can show activity without showing whether the work is moving forward.
- workflowsThe Problem With Perfect Recall at WorkWhen every workplace conversation can be searched later, teams need a better boundary between useful memory and permanent surveillance.
- workflowsThe New Workplace Problem: Too Many AI-Generated DocumentsAI makes documents cheap to produce. Reading, choosing, and maintaining them still costs human attention.
- workflowsThe New Etiquette of Recording a MeetingAs recording and AI meeting notes become easier, teams need clearer rules for consent, access, and trust.
- workflowsWho Gets to Be Heard When AI Takes the Notes?AI can record every voice in a meeting. That does not automatically mean every voice will be heard.
- workflowsThe Hidden Skill of Working With AI: Knowing When to StopThe useful AI skill is not always finding a better answer. Sometimes it is knowing when enough is enough.
- workflowsThe Productivity Paradox of Endless MeetingsMore meetings can create the appearance of coordination while leaving less time to do the work.
- workflowsThe Question That Restarts the MeetingWhy teams need to preserve the reasoning behind a decision, not just the final outcome, and how AI can help keep that context available.
- workflowsThe AI Apocalypse Isn't Here Yet. It's Changing Our Jobs.The data points to a workplace reshuffle: AI is changing tasks, skills, and workflows before it eliminates entire occupations.
- workflowsWhy Cross-Functional Teams Keep Losing the ContextEveryone attended the meeting. Everyone left with a different story. Cross-functional teams need a shared record of the context behind their work, not just more communication.
- workflowsA Meeting Is Not the Final Format of an IdeaGood conversations need somewhere useful to go: the same discussion can become a decision brief, a report, a slide deck, or an action list, depending on what the next reader needs.
- workflowsGreat Architecture Never Happens at a Standing Desk: Capturing Epiphanies from Evening Traffic to the ShowerWhy useful engineering ideas often arrive away from the desk, and how a lightweight voice workflow can capture them before they disappear.
- workflowsStop Summarizing the Whole Meeting: How I Use AI to Protect My Own ScopeA practical workflow for using a meeting recording and AI to identify your own responsibilities, confirm unclear ownership, and protect your scope after a busy project call.
- learningWhat Happens When You Stop Taking Notes in 2-Hour LecturesA student tests AI note-taking across three classes and discovers why organizing a lecture matters more than simply recording every word.
- workflowsAI Note-Takers Are Becoming More Than Meeting TranscriptsWhy AI note-takers are becoming more useful than meeting transcripts, and how organized conversation data can support the work that follows.
- workflowsYour Team Isn't Short on Meetings. It's Short on Decisions.Why meeting discussions become clearer when teams separate ideas, recommendations, decisions, open questions, owners, and next steps.
- workflowsCan You Trust AI-Generated Meeting Notes?AI meeting notes can reduce the first round of work, but important decisions, owners, deadlines, and sensitive details still need human review.
- workflowsThe Meeting Ended. Why Is Everyone Still Working?Why the work after a meeting often matters as much as the meeting itself, and how organized recordings can keep decisions useful after the call ends.
- ai workflowsBefore You Build an AI Agent, Make One Small Workflow ReliableA grounded playbook for making one small AI workflow reliable before adding tools, integrations, or autonomous behavior.
- workflowsSetting Ground Rules for Team Meeting Recordings: Consent, Visibility, and Retention—Three Are PlentyThree rules keep meeting recordings from becoming a trust liability: explicit consent announced at the start, visibility limited to attendees, and a 30-day retention default. Packed into a one-page team brief, reviewed quarterly.
- workflowsRunning a Meeting That Doesn't Waste Time: 10 Minutes Before, Just Three ThingsBefore every meeting, spend ten minutes on three things: lock down a one-sentence outcome, pre-load the materials, and review last week's action items. A three-line agenda keeps a room from scrambling for context and turns every call into the next episode of a serialized story.
- hrDon’t Score Interviews on Gut Feeling Alone: Turn Consented Recordings into Auditable Evaluation NotesScore interviews on evidence, not vibes: with consent, keep a recording, then log verbatim quotes, grounded concerns, and mapping to three core competencies in fifteen minutes.
- workflowsTime Zones Aren’t an Excuse: A Practical Guide to Voice Notes and Recordings for Remote TeamsTime zones stop being an excuse when every key discussion leaves an artifact: voice notes with three points, a recording plus one-page recap, and spoken-first drafting for written work.
- productSupport Calls Hold Your Product’s Most Honest Feedback: How to Turn Call Recordings into 3 Types of Product SignalsSupport calls are your most honest feedback channel. Turn recorded calls into three product signals—product gaps, docs gaps, and escalation patterns—with a 15-minute weekly review.
- salesThe 10 Minutes Before Hanging Up: Turning Sales Recordings into Verbatim Quotes and Real Next StepsThe ten minutes right after you hang up decide the next deal: pull three verbatim quotes, flag the signal you missed, and define one next step with a date and a trigger.
- workflowsIt’s Okay If English Isn’t Your First Language: Record Every Meeting and Let AI Help You Review Your Past SelfIf English is not your first language, record your meetings and run a three-step review: find what you missed, hear how you show up, and prep three sentences before the next call.
- ai toolsGPT-6 Astra Doesn’t “Listen”: Why Recording Is Still the First Mile of AI WorkGPT-6 Astra is powerful, but its audio modality is Not supported. That makes the first mile of AI work more important, not less: capture, transcribe, structure — then let the model process.
- product researchDon’t Let Customer Interviews End at “Nice Chat”: 3 Steps to Turn Recordings Into Product DecisionsInterviews that end at “nice chat” change nothing. Record the call, then run a three-step distillation — transcribe, sort into observation/problem/opportunity, cross-check and archive — so quotes become decisions.
- ai toolsSkip the Demo Hype: Take an AI Meeting Assistant to Your Worst Meeting and Test These 5 Failure PointsDemos are polished; your real meetings are not. Run an AI meeting assistant through the meeting you dread most and check five failure points before you pay.
- workflowsFriday 5:40: My Weekly Report Used to Be Four Empty Words — Here’s What Changed“Steady progress” says nothing. Park three things into a daily note — what got done, what got stuck, where things live — and let AI draft a weekly report your manager can actually act on.
- meetingsDon’t Send Those AI Meeting Notes Yet: Four Piles, Three Gates, and Every Decision Gets an OwnerAI meeting notes look polished — and that is exactly the risk. Before you forward them, sort the discussion into decisions, actions, and open questions, then make sure every decision has an owner.