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Turn a recorded customer interview into a draft blog post

Raw interview transcripts contain repetitive small talk, tangents, and informal phrasing that cannot be published directly, requiring hours of manual listening, cutting, and rewriting to extract usable content.

Before
120 min
After
60 min
Saved
60 min
Step diagram: Turn a recorded customer interview into a draft blog post — 5 steps, 3 handled by AI and 2 by you.

How this used to go

  • Listen to the recorded interview audio or read through the raw transcript while ignoring filler words and tangents
  • Highlight key quotes, customer pain points, and specific examples mentioned during the conversation
  • Copy the highlighted sections into a separate document and organize them into a logical article outline
  • Rewrite the transcribed spoken sentences into written paragraphs that read clearly
  • Review the draft against the original recording to ensure the customer's meaning was not distorted during editing

Sifting through long stretches of off-topic conversation and filler words to find the actual insights.

The workflow, step by step

  1. AI

    1. Clean and organize the transcript

    Give AI the transcript and ask it to remove filler, small talk, and repeated phrases while preserving the speaker's meaning. It should mark unclear audio, incomplete thoughts, and statements that need confirmation rather than guessing.

  2. AI

    2. Extract usable source material

    Ask AI to group the cleaned interview into customer pain points, outcomes, examples, and potential direct quotes. Require it to distinguish exact quotes from paraphrases and exclude claims that are not supported by the transcript.

  3. You

    3. Choose the article angle and approve evidence

    Select the central story the blog post should tell, then approve the quotes, examples, and claims that may appear in it. Remove sensitive or off-message material and resolve any ambiguity by checking the recording or contacting the customer; this choice determines what the draft can credibly say.

  4. AI

    4. Create the outline and first draft

    Give AI the approved material and ask it to build a logical outline before drafting clear written paragraphs in the requested brand voice. Instruct it not to invent context, results, customer details, or transitions that change the customer's meaning.

  5. You

    5. Verify and approve the draft

    Compare every important quote, claim, and example with the transcript or recording, then edit, reject, or send back any passage that is inaccurate, overstated, or too informal. Approve the remaining draft for publication only after the customer's meaning and any required permissions are confirmed.

What you end up with

A reviewed draft blog post built from the interview, with approved quotes, supported customer examples, and a clear article structure.

Where this falls apart

  • The raw interview audio contains overlapping speakers or heavy background noise, which causes the AI to hallucinate dialogue or miss critical customer pain points entirely.
  • The speaker relies heavily on industry jargon, sarcasm, or highly contextual inside jokes, which causes the AI to misinterpret the intent and draft an inaccurate narrative.

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