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PH1 core capbility
YEARS EXPERIENCE
3 to 5 years
TYPICAL CLIENT
Head of AI, VP Product, CTO, Director of Data Science
NECESSARY TIMELINE
Less than 2 months
Our POV
Without a written definition of what good looks like, every quality argument is a matter of taste and no eval score means anything. Teams discover this the moment two senior people disagree about whether an output is acceptable and there is nothing to appeal to.
The definition cannot be written by the model team alone. It needs the people who will live with the output, because what counts as correct is a question about the job being done, not about the model.
What We Do
Collect real cases. The inputs your product actually receives, including the awkward ones teams tend to exclude because they are hard to score.
Define correct with the people who judge it. Your product team, your domain experts and your customers, working through real examples until the standard is explicit and repeatable.
Assemble it as testable data. Structured so it can be run automatically, with the edge cases and the disagreements documented rather than smoothed away.
What We'll Deliver
A documented definition of a successful output per use case
Golden dataset assembled from real inputs including edge cases
Scoring criteria explicit enough for different people to agree
Documented disagreements and how they were resolved
The dataset delivered for your pipelines, yours to keep
A process for extending it as the product changes
When This is Essential
Quality debates keep ending in opinion rather than evidence
Eval scores exist but nobody trusts what they represent
Before building an eval programme that needs something to score against
When a model or vendor change needs comparing on a fixed standard
When domain expertise is required to judge correctness
Combine With These Services
AI Evals & Output Fine-tuning — run the evals the dataset makes possible
AI Failure Mode Research — catalogue what going wrong looks like
Measurement Frameworks — connect output quality to business outcomes
Part of AI Product Evaluation.
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Submissions