Meta-experiments: Improving experimentation through experimentation
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Accesso online: | |
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| _version_ | 1866917703446429696 |
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| author | Müller, Melanie J. I. |
| author_facet | Müller, Melanie J. I. |
| contents | A/B testing is widexly used in the industry to optimize customer facing websites. Many companies employ experimentation specialists to facilitate and improve the process of A/B testing. Here, we present the application of A/B testing to this improvement effort itself, by running experiments on the experimentation process, which we call 'meta-experiments'. We discuss the challenges of this approach using the example of one of our meta-experiments, which helped experimenters to run more sufficiently powered A/B tests. We also point out the benefits of 'dog fooding' for the experimentation specialists when running their own experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_16629 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Meta-experiments: Improving experimentation through experimentation Müller, Melanie J. I. Information Retrieval Applications A/B testing is widexly used in the industry to optimize customer facing websites. Many companies employ experimentation specialists to facilitate and improve the process of A/B testing. Here, we present the application of A/B testing to this improvement effort itself, by running experiments on the experimentation process, which we call 'meta-experiments'. We discuss the challenges of this approach using the example of one of our meta-experiments, which helped experimenters to run more sufficiently powered A/B tests. We also point out the benefits of 'dog fooding' for the experimentation specialists when running their own experiments. |
| title | Meta-experiments: Improving experimentation through experimentation |
| topic | Information Retrieval Applications |
| url | https://arxiv.org/abs/2406.16629 |