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Customer Stories
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, Senior 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
From meeting admin to product leverage // EverCommerce
How EverCommerce used Earmark to reduce product admin work, stay present in meetings, and turn conversations into execution-ready output
At growing software companies, product teams rarely struggle because there is not enough discussion. They struggle because every discussion creates downstream work.
Planning calls become follow-up notes. Customer conversations turn into user stories that still need to be written. Decisions get buried in transcripts. Product managers leave meetings with more administrative cleanup than actual leverage.
That was the backdrop for EverCommerce’s experience with Earmark.
The team was not looking for another generic AI meeting tool. They needed something that could help product managers stay engaged in the room while also producing the outputs that actually move work forward afterward. What stood out early was that Earmark did more than capture conversations. It helped turn live discussion into structured product artifacts like meeting summaries, requirements, action items, PRDs, and Jira-ready user stories.
“Earmark has become an essential tool in my day-to-day.”
That distinction matters. A lot of tools help you remember what happened. Far fewer help you do something with it. For EverCommerce, the value was not just better transcription. It was reducing the work that meetings usually create.
The challenge
Like many modern software organizations, EverCommerce runs on meetings. Product planning, design review, stakeholder syncs, and customer conversations all generate important context. But they also generate administrative drag.
For product managers, the real work often starts after the meeting ends. Notes need to be cleaned up. Recaps need to be shared. Requirements need to be clarified. Tickets need to be written. User stories need to be translated from raw conversation into something structured enough for engineering teams to act on.
That burden compounds fast. Instead of using meetings to accelerate execution, teams can end up trapped in a second shift of documentation and coordination.
“It allows me to stay fully present during meetings without having to pause and take manual notes.”
That line gets to the heart of the problem. The cost of admin work is not just time. It is attention. Every minute spent transcribing or rewriting context is a minute not spent clarifying decisions, asking better questions, or pushing the conversation forward.
EverCommerce wanted a better way to close that gap.
Why Earmark
Earmark fit because it was designed around product work, not just transcription.
Rather than acting like a passive recorder, Earmark helps teams turn real-time conversation into finished work. That includes structured notes, summaries, requirements, action items, and planning artifacts that can immediately support execution. For a product organization, that difference matters. The value is not in having a transcript. The value is in leaving the meeting with something useful already drafted.
That showed up quickly in user feedback. One customer called out the quick transcription setup and the flexibility of Earmark’s templates. Another emphasized the quality of the output, especially the ability to create accurate and actionable user stories from meetings.
“The output is exceptional and allows me to not only share quick recaps with a team, but create accurate and actionable user stories.”
That is the leap from convenience to leverage. Earmark was not just helping EverCommerce document conversations faster. It was helping convert those conversations into real product work.
What changed
Product managers stayed present
One of the clearest benefits was cognitive relief. Instead of splitting attention between participating in the conversation and capturing everything manually, product team members could stay engaged in the discussion itself.
That may sound small, but it changes the quality of meetings. When PMs are not busy taking notes, they can listen more carefully, challenge assumptions in real time, and help drive alignment while the context is still fresh.
“I can review transcripts from a call and the AI-generated cards are remarkably accurate.”
The quality of the output made that shift possible. This was not a case of trading manual notes for low-value summaries that still needed to be rewritten later. The outputs were good enough that users could trust them and keep moving.
Outputs became more actionable
Users consistently highlighted that Earmark’s outputs were not just readable. They were useful.
Meeting notes, summaries, action items, and user stories were already structured in a way that supported real execution. Instead of treating the meeting as the first step in a longer documentation workflow, EverCommerce could treat it as the moment where the work itself started getting formed.
That is especially important in product organizations, where the gap between discussion and delivery often shows up as rework. Every time a PM has to reconstruct context later, there is a chance something gets lost, softened, or delayed.
“Earmark transforms planning calls straight into PRDs and JIRA tickets.”
That is the EverCommerce story in one sentence. The meetings did not just produce notes. They produced momentum.
Documentation time dropped materially
The biggest practical outcome was the reduction in administrative overhead.
One of the strongest customer quotes estimated that the admin time spent on recaps, documentation, and user-story creation had dropped by roughly 75 percent. That is a major shift for any product team. It means less time spent cleaning up after meetings and more time available for prioritization, customer understanding, decision-making, and execution.
“My admin time spent in these areas has probably decreased by 75 percent.”
For teams operating at speed, that recovered time matters. It is the difference between spending the afternoon copying context between tools and spending it pushing product work forward.
The workflow started to feel indispensable
The most important signal may not have been a metric. It was how people described the product once it became part of their workflow.
The language from users suggested that Earmark was moving beyond “helpful tool” territory and becoming embedded in how the work actually happened. That is a strong signal in any customer story, especially for software aimed at daily-use product workflows.
When people start describing a product as something they would struggle to work without, it usually means it has crossed the line from novelty to necessity.
“An indispensable PM tool that saves hours of documentation.”
For EverCommerce, that mattered because the real benchmark was never whether Earmark could generate a nice summary. It was whether it could become part of the operating rhythm of the team.
Why it mattered for EverCommerce
For a company like EverCommerce, product teams operate in an environment where speed, clarity, and execution quality all matter. Meetings are unavoidable, but the administrative tax that follows them should not be.
Earmark helped reduce that tax.
Instead of product conversations ending in scattered notes and delayed follow-through, meetings could feed directly into structured deliverables. That shortened the path from discussion to action. It also reduced the amount of repetitive translation product managers typically do between stakeholders, product artifacts, and engineering execution.
The result was a simpler workflow: less cleanup, less context switching, and more forward motion.
“Not just another AI tool. Not just meeting transcription. An indispensable part of how product work gets done.”
That framing captures why the story is compelling. EverCommerce was not adopting Earmark just to improve meeting hygiene. The product was creating leverage inside a role that is often buried in coordination overhead.
The takeaway
EverCommerce’s experience points to a broader truth about AI in product organizations.
The real opportunity is not just summarizing what happened in a meeting. It is eliminating the work that meetings usually create afterward.
That is where Earmark stood out.
By helping EverCommerce turn conversations into recaps, requirements, user stories, PRDs, and Jira-ready outputs, Earmark reduced documentation overhead while increasing the usefulness of what came out of each meeting. The result was more presence in the room, less admin after the fact, and a workflow that quickly became hard to imagine working without.
“From planning calls to PRDs and JIRA tickets.”
That is the promise in its simplest form.
And in EverCommerce’s case, it appears to be exactly what the team was looking for.


