research-presenting

Structure research findings using a six-bucket format that places the adopt, reject, or subset verdict on top. This separates source, candidate, no-brainers, improvements, later system ideas, and definite skips so reviewers see transparent reasoning.

Present the verdict using a bucketed reasoning framework. It keeps the recommendation visible while breaking down what fits, what needs rework, and what should be skipped, allowing humans to decide per bucket rather than accepting a binary verdict.

Present addon, CLI, and skill evaluations by bucketing findings into source, candidate, no-brainers, improvements, later system ideas, and skips. This transparent structure supports human review of adopt, reject, or subset recommendations.

Yes, the six-bucket framework applies to transcript research workflows. It structures transcript findings into actionable categories with a verdict on top, supporting clear human review of adoption decisions.

Use the six-bucket format when research evaluations need transparent, actionable human review. It is needed when you must present adopt, reject, or subset recommendations with specific reasoning for no-brainers, improvements, later ideas, and skips.

The framework requires bucketed reasoning for no-brainers, improvements, later system ideas, and skips. You should not use it as a bare adopt or reject answer, as it is designed to make decisions transparent and actionable for human reviewers.