Mlola Research

Findings, only when the data supports them.

Mlola will publish aggregate research on how machines perceive software products. We will not publish sweeping conclusions from an immature dataset.

Research begins with evidence

No public reports have been released yet. As the corpus grows, this page will hold versioned reports with sample sizes, collection periods, limitations, and reproducible methodology notes.

Questions we expect to study

  • Median Machine Clarity by product category
  • Where AI families disagree most often
  • Which product dimensions are hardest to understand
  • How scores change after homepage improvements
  • The relationship between clarity and outbound interest

Editorial standard

Owner corrections may improve future evaluation and research, but do not retroactively change a completed score. Historical benchmark versions and results are preserved rather than silently rewritten.