Analysis Orchestration FAQs

Question 1

Which Claude model is recommended for complex interpretive coding?

Accepted Answer

For tasks requiring high theoretical sensitivity and nuanced understanding, such as Stage 2 interpretive coding or pattern characterization, Claude 3.5 Opus is recommended. For systematic categorization and initial passes, Claude 3.5 Sonnet offers an ideal balance of quality and cost.

Question 2

When should I use this Claude Code skill?

Accepted Answer

You should use this skill when planning a research project that involves processing multiple documents, such as interviews or academic papers. It is particularly useful when you need to balance the need for deep interpretive coding with budget and time constraints.

Question 3

How does this skill help with research cost management?

Accepted Answer

It includes built-in cost estimation tools and scripts. By analyzing document characteristics like page count and token volume, the skill provides a projected cost range for different Claude models (Opus, Sonnet, or Haiku) before you begin your analysis.

Question 4

Can this skill handle large-scale document processing?

Accepted Answer

Yes. It provides specific strategies for different corpus sizes. It recommends single-pass dialogical coding for small sets (10-30 documents) and multi-pass, tiered strategies for large datasets (100+ documents) to maintain analytical rigor while scaling.

Question 5

What does the Analysis Orchestration skill do?

Accepted Answer

Analysis Orchestration provides a strategic framework for AI-assisted qualitative research. It helps users select the most appropriate Claude model for their specific interpretive needs, estimates API costs, and designs efficient batch processing workflows for large document sets.

Analysis Orchestration

Analysis Orchestration

Key Features

Use Cases

Key Features

Use Cases