A specialized knowledge management system designed for product managers who need to organize customer feedback, track feature requests, monitor competitive intelligence, document strategic decisions, and map stakeholder perspectives.
- Feedback Analysis Engine: Processes user input through NLP, clustering, sentiment analysis, and trend detection.
- Strategic Prioritization Framework: Evaluates features using multi-criteria scoring, strategic alignment, and resource constraints.
- Competitive Analysis System: Manages competitor profiles, comparative analysis, and market positioning.
- Decision Registry: Captures decision rationale, alternatives considered, and context preservation.
- Stakeholder Insight Manager: Handles stakeholder perspectives, conflict detection, and consensus building.
pip install -e .Run tests with pytest:
pytestTo generate test reports:
pytest --json-report --json-report-file=pytest_results.jsonThis package provides a Python API for product knowledge management. All data is stored locally in plain text formats.
from productmind.feedback_analysis import FeedbackAnalysisEngine
from productmind.prioritization import PrioritizationFramework
from productmind.competitive_analysis import CompetitiveAnalysisSystem
from productmind.decision_registry import DecisionRegistry
from productmind.stakeholder_insights import StakeholderInsightManager
# Initialize components
feedback_engine = FeedbackAnalysisEngine()
prioritization = PrioritizationFramework()
competitive = CompetitiveAnalysisSystem()
decisions = DecisionRegistry()
stakeholders = StakeholderInsightManager()
# Use APIs to manage product knowledge