Marketing ops · Production

HubSpot Podcast Network hits multi-episode weekly cadence with Descript's AI-powered editing

The problem

The HubSpot Podcast Network team faced a grueling multi-episode-per-week production schedule, with stakeholder feedback scattered across surfaces and timestamps creating logistical chaos, and manual audio and video editing that was slow and error-prone.

Workflow diagram · grounded in source

Raw audio/video intake

trigger

“turn raw video and audio files into punchy podcasts”

Text-based story editing

output

“Descript's text-based editing makes shaping a story so much easier because you're actually rearranging words on a page. It's far more intuitive than traditional audio editing and makes storytelling accessible to everyone, even those with…”

Real-time stakeholder review

human_review

“Stakeholders can jump in, make edits, and leave comments directly in the file, with real-time updates”

Studio Sound audio enhancement

ai_action

“Studio Sound keeps My First Million sounding premium without the hassle. It instantly removes background noise and sharpens vocals—even if nobody knows a thing about sound engineering. Guests with low-quality audio? No problem. As Ezra e…”

Direct publish from platform

output

“they can get episodes out faster by publishing directly from the platform”

Reported outcome

With Descript, the team consistently meets its tight turnaround deadlines with real-time collaborative editing, achieves studio-quality audio without sound engineering expertise, and has slashed per-episode production time.

Reported metrics

Per-episode production timeslashed the time it takes to produce each episode

Audio quality improvementturning 2-out-of-10 audio into a solid 7

Video output potential2.5x more video output

Reported stack

DescriptStudio Sound

Source

https://www.descript.com/customers/hubspot

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

With Descript, the team consistently meets its tight turnaround deadlines with real-time collaborative editing, achieves studio-quality audio without sound engineering expertise, and has slashed per-episode production…

What tools did this team use?

Descript, Studio Sound.

What results were reported?

Per-episode production time: slashed the time it takes to produce each episode; Audio quality improvement: turning 2-out-of-10 audio into a solid 7; Video output potential: 2.5x more video output (source-reported, not independently verified).

How is this marketing ops AI workflow structured?

Raw audio/video intake → Text-based story editing → Real-time stakeholder review → Studio Sound audio enhancement → Direct publish from platform.