# How TVNZ uses Harness

As published on [harness.io](https://www.harness.io/case-studies/expanding-experimentation-and-scaling-innovation-at-tvnz), August 2026. Captured by usedby on 2026-10-09.

- Company: [TVNZ](https://www.usedby.ai/companies/tvnz.md)
- Tool: [Harness](https://www.usedby.ai/tools/harness.md)
- Industry: [Streaming & Content](https://www.usedby.ai/companies/industry/streaming-content.md)
- Teams: Product, Engineering, DevOps

## What the story says

TVNZ uses Harness feature management and experimentation (Split) to run feature flags and automated A/B tests on its OnDemand streaming platform, replacing a slow in-house system that required DevOps teams to manage flags and manual testing steps.

Summary written by usedby from the source page, in English. The figures are those of Harness and TVNZ, not ours.

> TVNZ transitioned from infrequent to continuous experimentation, dramatically speeding up their feedback loop.

> With Split, we’ve gone from running one experiment every few months to having so many experiments that we need to think carefully about sequencing and prioritization.
>
> Nathan Wichmann, Product Manager at TVNZ OnDemand

Source: [harness.io](https://www.harness.io/case-studies/expanding-experimentation-and-scaling-innovation-at-tvnz), captured 2026-10-09.

## What usedby checked

We compared the story with its live page on 2026-10-09.

- Checked: the passage quoted above is copied word for word from the page, near the name of TVNZ.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: TVNZ uses Harness. Confirmed line. Latest check across sources: 2026-10-09.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/tvnz-harness · How we check: https://www.usedby.ai/methodology