Zovda
Most data projects start at scale because scale feels like progress. The first thousand rows then reveal that the unit was wrong, the field was ambiguous, and one category is really three.
Those findings cost a thousand rows. They would have cost fifty.
What fifty rows reveal
- Whether the unit is definable at all
- Which fields are actually fillable
- Where two annotators will disagree
- Whether the task is worth doing in this form
None of these need volume. All of them are expensive to learn later.
Read them by hand
Fifty rows is a number you can read in an afternoon. Read them, argue about them, and rewrite the guideline before the second batch.
A project that has never read its own data by hand is a project running on assumptions.
Then double, twice
Fifty, then a hundred, then two hundred. Each doubling tests whether the rules hold at a different shape, and each one is cheap enough to throw away.
Scale is the last decision
Volume answers a question you should ask after the structure is settled: how much do we need to reach the target quality. Asking it first is how projects buy ten times the data they can use.
Zovda runs these programs through Datuva, where the first small batch and the full run share a schema. The corpus catalogue shows what a first batch looks like.
Tell us what you are trying to define. We reply within one business day.