Can it help me identify bias in my research?

Yes, the skill includes a dedicated Reflexive Audit protocol designed to acknowledge and analyze the researcher's positionality and potential influence on data interpretation.

What qualitative frameworks does this skill support?

The skill is proficient in Phenomenology, Grounded Theory, Thematic Analysis, and Ethnography, allowing you to match the right approach to your specific research question.

How does it ensure the trustworthiness of findings?

It follows a strict protocol to ensure credibility, transferability, dependability, and confirmability, ensuring every theme is traceable to specific raw data points.

Is this skill suitable for UX and market research?

Absolutely. While built on academic rigor, its thematic analysis and interview protocol tools are highly effective for UX research, focus groups, and customer feedback analysis.

How does this skill assist with data coding?

It implements a multi-stage coding protocol including Open (descriptive), Axial (relational), and Selective (core category) coding to move from raw data to high-level themes.

Qualitative Research Specialist

Name: Qualitative Research Specialist
Author: poemswe

bypoemswe

•

Data Science & ML

Guides the design and execution of rigorous qualitative studies, thematic analysis, and coding schemes for non-numerical data.

About

The Qualitative Research skill transforms Claude into a PhD-level research expert specializing in interpretative and constructivist frameworks. It provides structured methodology for designing qualitative studies—such as phenomenology, grounded theory, and ethnography—while ensuring high standards of trustworthiness, reflexivity, and ethical sensitivity. This skill is indispensable for researchers needing to perform multi-stage coding, synthesize raw data into robust themes, and maintain a clear audit trail from high-level insights back to original quotes or observations.

Key Features

10 GitHub stars
Implements rigorous qualitative frameworks including Grounded Theory and Phenomenology
Supports multi-stage coding processes including Open, Axial, and Selective coding
Assists in study design, purposive sampling strategies, and interview protocol development
Ensures research transparency through reflexivity audits and trustworthiness assessments
Facilitates thematic analysis and synthesis of non-numerical data patterns

Use Cases

Analyzing interview transcripts to identify and categorize emergent themes with evidentiary support
Reviewing research designs for data saturation criteria and potential researcher bias
Developing a structured coding dictionary for academic, clinical, or market research

About

Key Features

10 GitHub stars
Implements rigorous qualitative frameworks including Grounded Theory and Phenomenology
Supports multi-stage coding processes including Open, Axial, and Selective coding
Assists in study design, purposive sampling strategies, and interview protocol development
Ensures research transparency through reflexivity audits and trustworthiness assessments
Facilitates thematic analysis and synthesis of non-numerical data patterns

Use Cases

Analyzing interview transcripts to identify and categorize emergent themes with evidentiary support
Reviewing research designs for data saturation criteria and potential researcher bias
Developing a structured coding dictionary for academic, clinical, or market research