STANDARD OF TASTE

Illustrative. A fictional company; nothing here was measured.

THE COMPANY VIEW

Why Tessavox would build the reading, and how it would find out if it was wrong.

The business case

A streaming service would build this as a feature: it already holds each listener's recent listening, and a readable, arguable reading that ends in a prompt for the service's own licensed creation tools keeps listeners who want to make music inside the service.ASSUMED
  • Tessavox already holds what the reading needs: every listener's recent plays. Nobody is asked to describe their taste, which the interviews behind this project found almost nobody can do.
  • The prompt the reading ends in is pasted into Tessavox's own creation tool, trained on music it has licensed. The reading is the way in; the tool is what it feeds.
  • What a listener rejects and what they choose is a signal a recommender does not collect: a person correcting a description of their own listening.

What it would measure

NORTH STAR

  • Readings that end in a creation start

    Of the readings a listener opens, the share that reach the creation screen and start a track.

    It is the whole claim in one number: a reading worth having is one somebody carries into something they make.

SUPPORTING

  • Kept-line rate

    Lines kept, over lines shown.

    A reading whose lines are mostly rejected is describing somebody else.

  • Chosen-reading rate

    Kept lines where the listener picked one of the two offered readings, over kept lines.

    It says whether the offers land. A line kept with "neither" every time names a real pattern and misreads it.

GUARDRAILS

  • Rejection rate, per template

    For each line template, rejections over showings.

    High means the template is wrong. Near zero is its own warning: a line nobody ever rejects may be true of everyone, which is the Barnum effect the receipts exist to prevent.

  • Carve-out hits

    Rendered sentences that match the carve-out patterns.

    The target is zero, always: nothing on any surface asserts anything about trauma, abuse or mental health.

  • Opt-out rate

    Listeners who turn the reading off, over listeners shown it.

    A feature that reads your listening back to you has to be easy to refuse, and a rising opt-out is the first sign it is unwelcome.

How it would test it

An A/B test at Tessavox's creation entry. Half of the visitors who open the creation tool see the reading and the prompt it ends in; the other half see the plain prompt box they see today.

Primary metric: creation starts per visitor who reaches the creation entry, compared between the two arms.

PLANNING ASSUMPTIONS

Every number below is a planning assumption or computed from one. None is a result.

Creation starts per visitor at the creation entry, with the plain prompt box: 20%PLANNING ASSUMPTION
We found no published rate, so nothing measured stands behind it. It is a round number chosen to make the arithmetic visible, and the sample size is shown for two others beside it.
The smallest lift worth detecting: 2 percentage pointsPLANNING ASSUMPTION
The reading adds screens before creation, and screens cost attention and maintenance. The assumption is that a lift smaller than a tenth of the baseline would not pay for them, so the test is sized to see one that size and not smaller.
False-positive rate, two-sided: 5%PLANNING ASSUMPTION
Convention, kept because a reviewer can check it at a glance; nothing about this feature argues for another.
Power: 80%PLANNING ASSUMPTION
Convention: a one-in-five chance of missing a real lift of the minimum size is the usual trade against run length.

Visitors needed in each arm, from the assumptions:

n per arm = (z₁₋α/₂ · √(2·p̄(1−p̄)) + z₁₋β · √(p₁(1−p₁) + p₂(1−p₂)))² ÷ (p₂ − p₁)²

20% → 22%: 6,510 visitors per arm

If the baseline were different:

  • 10% → 12%: 3,841 visitors per arm
  • 30% → 32%: 8,394 visitors per arm

THE RESULT THAT WOULD KILL IT

  • The upper end of the 95% interval for the lift falls below the smallest lift worth detecting. The reading is then not worth its screens, however much people enjoy it.
  • Any carve-out hit in the rendered copy, at any point in the test.
  • A template rejected by more than half the listeners it is shown to is pulled, and the test continues without it.

What five departments would ask

PERSONALIZATION

Doesn't the recommender already do this?

The recommender acts on a listener's taste without ever showing it to them. The reading shows the pattern, points at the plays behind it, and lets the listener correct it; a correction is a signal the recommender never gets.

TRUST & SAFETY

Are we inferring how people feel from what they play?

We don't infer it, and the design refuses to. A line names a pattern and offers two readings as questions, because the same pattern can come from opposite feelings; the listener says which, if either. No model writes any sentence, and nothing on any surface asserts anything about trauma, abuse or mental health. In 2021 a streaming service's patent for detecting a listener's emotional state from their voice drew a public campaign against it.

Access Now, Fight for the Future, the Union of Musicians and Allied Workers and more than 180 musicians and rights groups, letter to Spotify dated 4 May 2021 on its patent for detecting a speaker's "emotional state"; press release published, 19 May 2021. Source

LEGAL & LICENSING

What data does it touch, and where does the prompt go?

Listening history Tessavox already holds, read inside Tessavox. The prompt goes only to Tessavox's own licensed creation tool, never to a third-party generator, and it names no artist. What that tool was trained on is its own licensing question, not the reading's.

GROWTH

Which number does it move, and how would we know it didn't?

Creation starts, tested against today's plain prompt box, with the result that kills it written down before the test runs. The demand underneath is assumed, not shown: nobody has yet been observed wanting this.

LABEL PARTNERSHIPS

Will labels see this as a tool that competes with their artists?

The prompt feeds Tessavox's licensed tool, which is the direction the industry has taken in public: in October 2025 a major streaming service announced AI music products built with the labels rather than around them.

Spotify, "artist-first" AI music products announced with Sony, Universal, Warner, Merlin and Believe — not, at the time, a licence to train on their catalogues, 16 October 2025. Source

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