SLR
https://gemini.google.com/app/7a4dd427e76bf952
Here are some research questions suitable for a Systematic Literature Review (SLR) on the impact of AI on Software Product Management (SPM) practices, categorized for clarity:
Impact on SPM Processes:
- Overall Impact: What is the overall impact of AI on software product management practices?
- Requirements Management: How does AI influence requirements elicitation, analysis, prioritization, and management in software product development?
- Roadmapping & Planning: How does AI support product roadmapping, release planning, and sprint planning in software product management?
- User Story Mapping: What is the impact of AI on user story mapping and its effectiveness in defining product features and releases?
- Product Strategy: How does AI influence the development and execution of product strategy in software companies?
- Competitive Analysis: How is AI used to enhance competitive analysis and market research in the context of software product management?
- Risk Management: How does AI contribute to risk identification, assessment, and mitigation in software product development?
- Release Management: What is the role of AI in automating and optimizing software product release management processes?
Impact on SPM Roles & Skills:
- Role of the Product Manager: How does AI change the role and responsibilities of software product managers?
- Required Skills: What new skills and competencies are required for product managers in an AI-driven software development environment?
- Team Collaboration: How does AI impact collaboration between product managers, developers, and other stakeholders?
Impact on Product Outcomes:
- Product Innovation: How does AI contribute to product innovation and the development of new software products?
- Product Quality: What is the impact of AI on software product quality and defect reduction?
- Time to Market: How does AI influence the time to market for new software products?
- User Satisfaction: What is the relationship between AI adoption in SPM and user satisfaction with software products?
- Business Value: How does AI contribute to the business value and ROI of software products?
Specific AI Techniques & Applications:
- Machine Learning: How is machine learning being applied in software product management, and what are its effects?
- Natural Language Processing (NLP): What is the role of NLP in automating or improving SPM tasks (e.g., requirements analysis, user feedback analysis)?
- Predictive Analytics: How is predictive analytics used in SPM for forecasting, risk assessment, or user behavior analysis?
Ethical & Societal Implications:
- Bias in AI: What are the potential ethical challenges and biases associated with using AI in software product management?
- Job Displacement: What is the potential impact of AI on job displacement within software product management teams?
For your SLR, you wouldn’t necessarily choose all of these. You would likely narrow your focus to a few key areas that are of particular interest to you. A good starting point is to choose a broader area (e.g., “Impact on SPM Processes”) and then refine it further with more specific questions.