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Marketing Academy · Field Work●Content Marketing
All projects·From: Scaling Content Velocity with AI: 10x Output, Not 10x Noise
MiniBuild the Asset· 30 minutes

One Interview, Eight Assets: Building Adyen's Repurposing Pipeline

Adyen

Objective: Given one 40-minute executive interview transcript, build a repurposing plan that maps it into the lesson's 8-piece output model.

Adyen's content team just recorded a 40-minute interview with a payments exec on embedded finance trends. You have one repurposing cycle to turn it into a distribution plan before the team drafts anything.

Map the transcript's 5 quotable moments into the formats the lesson's pipeline defines, and assign an owner and AI-vs-human split to each.

Before you start

What you'll need

Free path (everything below is enough to finish)

Google Docs
FreeTag transcript quotes and assign owners and formats

Free, collaborative, easy to comment and tag inline

The process

1 step

Step 01 of 01

Content repurposing pipeline design

The lesson's pipeline turns one 40-minute interview into a blog post, a newsletter excerpt, three LinkedIn posts, five video clips, and a thread, eight pieces from one source conversation.

Given this 5-quote transcript excerpt, which quote becomes the blog post's core argument, and which become standalone LinkedIn posts?

Google Docs— Paste the transcript excerpt, tag each quote with a target format

Procedure

  1. Paste the 5-quote transcript excerpt into a Google Doc
  2. Tag each quote with its target format (blog, newsletter, LinkedIn x3, clip, thread)
  3. Note who drafts each piece, AI first-pass or human first-pass, per the lesson's three-pass model
Sample output
QUOTE 2 (the strongest, most specific claim) -> Blog post core argument, human-drafted intro, AI-structured body
QUOTE 4 (a sharp one-liner on fraud rates) -> Standalone LinkedIn post, AI first-draft, human edit pass
QUOTE 5 (a customer anecdote) -> Newsletter excerpt, human-written, no AI pass

Healthy

Each piece has an explicit AI-vs-human assignment and a target format before drafting starts.

Unhealthy

The team drafts all pieces from scratch instead of tagging and repurposing from the one source interview.

What this means

Repurposing planning happens before drafting, not after. Skipping this step is why teams create more content without extracting more value from what they already have.

So what do I do about it?

SymptomActionEffort
The team is drafting each content piece from a blank pageTag every quote in the source transcript with its target format before anyone opens a doc to draft30 min
YouYou can do this yourself, no engineering access required.

Final deliverable

A repurposing map assigning all 5 transcript quotes to their target format, owner, and AI-vs-human drafting split.

See a reference example
Sample output
PolicyBazaar exec interview, repurposing map (excerpt)

QUOTE 1 -> Blog core argument, human-drafted
QUOTE 3 -> LinkedIn post #1, AI first-draft + human edit
QUOTE 5 -> 45-second video clip, no AI pass, editor cuts directly from footage

Success criteria

You're done when you can:

  • Maps all 5 quotes to a specific format
  • Assigns a clear AI-vs-human split per piece, not a blanket 'AI does everything'