ReddRadar
Agent skill
learning-needs-analysis
Conduct comprehensive learner audience analysis, identify performance gaps, and determine instructional requirements using surveys, interviews, and data analysis
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/social-sciences-humanities/education/skills/learning-needs-analysis
SKILL.md
Learning Needs Analysis
Conduct comprehensive learner audience analysis, identify performance gaps, and determine instructional requirements using surveys, interviews, and data analysis.
Overview
This skill enables systematic analysis of learning needs to inform instructional design decisions. It encompasses audience analysis, performance gap identification, and requirements determination to ensure training and education programs address real needs effectively.
Capabilities
Audience Analysis
- Identify learner demographics and characteristics
- Assess prior knowledge and skills
- Determine learning preferences and styles
- Analyze motivation and attitudes
- Map learner contexts and constraints
Performance Gap Analysis
- Define desired performance outcomes
- Assess current performance levels
- Identify gaps between current and desired states
- Distinguish training from non-training solutions
- Prioritize gaps by impact and feasibility
Data Collection Methods
- Design and administer surveys
- Conduct stakeholder interviews
- Facilitate focus groups
- Analyze performance data
- Review existing documentation
Requirements Documentation
- Document instructional requirements
- Define learning objectives
- Specify constraints and resources
- Identify success metrics
- Create analysis reports
Usage Guidelines
Analysis Process
- Define scope and purpose of analysis
- Identify data sources and stakeholders
- Design data collection instruments
- Collect and analyze data
- Synthesize findings
- Document recommendations
Data Collection Best Practices
- Use multiple data sources
- Balance qualitative and quantitative methods
- Ensure representative sampling
- Maintain objectivity
- Validate findings with stakeholders
Documentation Standards
- Clearly state methodology
- Present findings with evidence
- Distinguish facts from interpretations
- Provide actionable recommendations
- Include supporting data
Integration Points
Related Processes
- ADDIE Model Implementation
- Action Mapping
- Kirkpatrick Evaluation
Collaborating Skills
- learning-objectives-writing
- assessment-item-development
- learning-analytics-interpretation
References
- Mager and Pipe performance analysis
- Rossett needs assessment framework
- ATD competency model
- Instructional design methodologies
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?