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Customer Stories
From meeting overload to leverage // Michael Leibovich, GM Behance & Adobe
For senior leaders, the hardest part of the job is often not the work itself. It is the load.
Michael Leibovich leads complex work across product, design, support, and business strategy at Adobe. Like many operators in high-context roles, he was managing a constant stream of meetings, decisions, shifting priorities, and organizational nuance. Over time, the volume of context he had to carry in his head became its own bottleneck. His personal systems for note-taking and organization were no longer enough to keep up.
At the same time, Michael was experimenting with AI tools and seeing both the promise and the limitation. The outputs were often competent, but they lacked the judgment, history, and specificity needed to be truly useful. The problem was not generation. It was context. He did not need another tool that could produce generic text. He needed something that could help him stop starting from zero every time.
“The real promise is not better notes. It is having a trusted partner that can hold context, filter noise, and help you move with more clarity.”
That is where Earmark fit.
Michael uses Earmark to capture and transcribe meetings in real time without a meeting bot, then feed those transcripts into the system he built as his AI chief of staff. He called out Earmark specifically because it was better tailored to product-oriented work and because it could help generate useful outputs from meetings as they happened, not just summaries after the fact.
Earmark became the input layer for a broader workflow Michael designed to reduce cognitive overhead and improve follow-through. Meeting transcripts flow into his local AI system, where they are processed alongside structured context about his role, priorities, teams, decision-making frameworks, and working style. That system then helps him metabolize the day: summarizing meetings, identifying what is on his plate, drafting first passes on follow-up work, and distinguishing between what he needs to do himself and what can already be started for him.
One of the clearest examples of value came from a simple question: What is the highest leverage thing I should do in the next 30 minutes? Instead of spending that time reconstructing priorities from notes, Slack, and memory, Michael could ask his system for a context-aware recommendation tied to upcoming meetings, blocked work, and open commitments. In his words, that reduced the cognitive load of constantly deciding what mattered most.
The impact went beyond recall. It changed how he showed up.
Michael described using his system to prepare for meetings with one-page briefings built from prior conversations, commitments, and calendar context. That meant he could walk into meetings with a sharper view of what had changed, what was unresolved, and where decisions were needed. He also used the workflow to maintain living context on people and projects over time, so important details discussed in 1:1s and cross-functional meetings did not disappear into scattered notes or memory.
For Michael, Earmark is not just a note taker. It is the system that captures the most valuable layer of work: the live conversation where priorities shift, decisions get made, and execution begins. By turning meetings into usable context in real time, Earmark helps power an AI chief of staff that can reduce noise, preserve continuity, and make follow-through easier.
In high-context leadership roles, that is the difference between keeping up and actually getting leverage.
From conversation chaos to finished work // ServiceTitan product teams
At most SaaS companies, Product doesn’t run on documents. It runs on conversations.
Roadmap tradeoffs get decided in leadership syncs. Requirements get clarified in prod/eng meetings. Customer feedback gets interpreted in debriefs. The work is live, cross-functional, and high-context—and that’s not a flaw. That’s the job.
The problem is what happens after the conversation ends.
Someone has to translate what was said into what ships: tickets, stories, specs, updates, decisions, and rationale. That “translation tax” is rarely scheduled, rarely visible, and almost always falls on your highest-leverage people. As engineering gets faster, that translation layer becomes the bottleneck—showing up as a calendar packed with alignment, plus a second shift of follow-up work.
ServiceTitan evaluated Earmark to close that gap: reduce the time between “we talked about it” and “it’s in motion,” without adding process or degrading meeting quality. They weren’t looking for AI meeting notes. They wanted a way to turn live conversations into execution-ready work—while the meeting was still happening.
A Senior Product Manager summed up the pain—and the shift—simply:
“Most of my time… is in conversations… I don’t really get to do that ‘deep work.’ So meetings are where I lose the most energy. Earmark saves me right there, in the meeting…”
— Scott Burns, Senior Product Manager
That line—saves me right there, in the meeting—is the core of this case study. The value wasn’t a recap later. The value was removing the cognitive overhead during the conversation and producing real work before the meeting ended.
What changed when the translation tax went away
During the evaluation, Earmark repeatedly showed up as a tool doing three specific jobs. The pattern was consistent across users and use cases—not “nice summaries,” but tangible improvements in throughput and clarity.
1) Complex conversations became clean execution artifacts
Product work is messy in the middle. Technical feedback is nuanced. Decisions are partial. Context lives in spoken language—then gets reconstructed later when someone finally has time to write it up.
Earmark reduced that reconstruction step by helping PMs convert messy discussions into structured, usable artifacts: stories, tickets, and clear written outputs that matched the direction they wanted to take.
“Earmark helps me decipher conversations and then elegantly write them up with whatever direction I provide… and understand feedback on complex technical subjects to put into several tickets for development team review.”
— Christine Yang, Senior Product Manager
In practice, this meant the meeting wasn’t just alignment—it was the moment execution got shaped into something the team could act on.
2) PMs stayed present—while the work still got captured
The more important the meeting, the harder it is to both participate and document. Most PMs either half-listen while they type, or stay engaged and accept the cost of a bigger cleanup later.
Earmark changed that tradeoff. Users consistently described being more focused and retaining more, because they weren’t trying to be the scribe.
“Literally helps me focus on the meeting itself rather than trying to write down things. It truly keeps me in the present…”
This is a subtle benefit with compounding impact: better meetings, clearer decisions, and less mental fatigue—without sacrificing documentation.
3) Ideas and updates stopped slipping through the cracks
The other hidden cost of meeting-heavy work is context loss: good ticket ideas never get written down, key decisions don’t get broadcast, and stakeholders who weren’t present end up dragging the team back into recap mode.
Earmark helped teams capture and share what mattered while it was still fresh—reducing dropped details and making downstream communication easier.
“Earmark helps me capture ticket ideas so that these things don't slip through the cracks… it also saves me time generating updates for other colleagues who should be informed.”
— Amanda Taylor, Product Manager
Results: pull, time saved, and output quality
The evaluation survey wasn’t ambiguous. ServiceTitan users didn’t describe Earmark as a novelty. They described it as something they’d miss.
Retention signal (product pull):
67% said they’d be very disappointed if Earmark went away
33% said they’d be somewhat disappointed
0% said they wouldn’t care
Time savings (capacity returned):
All users reported significant weekly time savings
67%: 5+ hours/week
33%: 3–5 hours/week
Output quality (minimal rework):
Average satisfaction: ≈ 4.7 / 5
All respondents said outputs needed only “a little” cleanup
One unexpected but important secondary effect was “polish.” When outputs look finished, teams move faster because fewer people question the artifact, and the author’s credibility increases.
“Everything Earmark produces looks so polished that my peers think I spent hours building documents out—it’s a game-changer for my credibility.”
The most telling signal: it expanded organically in 30 days
The productivity story is strong—but the adoption story is what makes this compelling for other SaaS product executives.
Earmark’s outputs—tickets, updates, docs—are naturally shareable. They flow through Slack, project trackers, and stakeholder threads. That creates “referenceability”: once people start relying on the artifacts, they want to be closer to the source, contribute, and get the same leverage. That’s how tools spread inside product orgs without being mandated.
In 30 days, usage expanded dramatically:
Active users: 7 → 33 (4.7×)
Meetings captured: 291 → 1,132 (3.9×)
Tasks generated: 461 → 1,403 (3.0×)
Total meeting hours processed: 200.48 → 797.54 (4.0×)
For a website visitor, this is the core takeaway: Earmark didn’t just help individuals. It became part of how the org operated—and pulled more people into the workflow.
What it enabled in practice
This wasn’t theoretical value. Users described concrete outcomes that map to everyday product execution:
Turning technical discussion into delivery artifacts
Writing stories immediately after prod/eng syncs
Creating meeting updates for stakeholders who couldn’t attend
Producing higher-level strategy docs and epics from live conversation
And one short external proof point captured the day-to-day experience:
“Earmark is a life saver - gives me time back and lifts the cognitive load. I stay fully locked in because it's a reliable note taker and analyzer.”
Why this matters for other SaaS product leaders
If your organization feels the modern paradox—engineering velocity accelerating while PM bandwidth stays fixed—the constraint is no longer code. It’s the translation layer between talking and shipping.
ServiceTitan’s evaluation points to a different operating model:
Meetings don’t have to create more work.
They can create finished work.
And the value is straightforward:
More throughput without adding headcount (3–5+ hours/week back per PM)
Faster conversion from discussion to delivery
Higher meeting quality (presence vs. note-taking)
Less context loss across stakeholders
Organic expansion driven by referenceable outputs




