Discovery Domain Specification - move to Qwiki

1. Domain Overview

Domain Name: Discovery Alternative Terms: Engage, Match, Connect, Matchmaking, Introduction Abstract: The Discovery domain facilitates meaningful interactions between platform participants by enabling efficient discovery, matching, and initial engagement between supply and demand sides. It encompasses the processes and systems required for participants to find relevant counterparts, understand value propositions, and initiate potential value exchanges. This domain bridges the gap between having participants on the platform (Formation) and formalizing agreements (Contract).

2. Core Purpose

Primary Function

To facilitate efficient and effective matching between platform participants, enabling them to discover potential value exchange opportunities and engage in meaningful interactions.

Value Proposition

• For Platform: Enables efficient market mechanisms and increased transaction likelihood

• For Suppliers: Provides access to relevant potential customers and market opportunities

• For Consumers: Enables discovery of relevant offerings and evaluation of options

Success Criteria

• Match quality metrics

• Engagement rates

• Conversion rates (discovery to contract)

• Participant satisfaction scores

• Time to match/discover

• Relevance accuracy

3. Domain Scope

3.1 Key Activities

Core Activities:

• Participant matching and recommendation

• Search and discovery facilitation

• Value proposition presentation

• Initial interaction facilitation

• Interest registration and tracking

• Communication enablement

Supporting Activities:

• Match quality monitoring

• Engagement facilitation

• Reputation management

• Preference management

• Discovery optimization

Optional Activities:

• Advanced matching algorithms

• AI-powered recommendations

• Virtual showcases/demonstrations

• Automated interest matching

• Enhanced discovery tools

3.2 Boundaries

Entry Points:

• Search initiation

• Browse requests

• Match requests

• Automated recommendations

• Interest expressions

Exit Points:

• Successful matches

• Initial contact establishment

• Interest confirmation

• Readiness for formal engagement

Interfaces:

• From Formation Domain: Receiving qualified participants

• To Contract Domain: Handoff of matched parties

• To Platform Support: Integration with communication systems

• To Analytics: Match quality data

3.3 Dependencies

Prerequisites:

• Complete participant profiles

• Defined matching criteria

• Communication channels

• Discovery mechanisms

Downstream Effects:

• Match quality impact on contracts

• Platform reputation influence

• Network effect acceleration

Critical Resources:

• Matching algorithms

• Search infrastructure

• Communication platforms

• Recommendation engines

• Analytics systems

4. Participant Roles

4.1 Platform Provider

Responsibilities:

• Matching system provision

• Search functionality maintenance

• Communication channel provision

• Match quality assurance

• Discovery optimization

Required Capabilities:

• Advanced matching algorithms

• Search infrastructure

• Communication platforms

• Analytics systems

• Quality monitoring tools

Key Decisions:

• Matching criteria

• Discovery mechanics

• Interaction protocols

• Quality standards

• Communication policies

4.2 Supply Side

Roles:

• Profile optimization

• Value proposition presentation

• Response management

• Engagement participation

• Availability indication

Requirements:

• Complete offering information

• Response time standards

• Communication protocol adherence

• Quality standards maintenance

Benefits:

• Targeted exposure

• Qualified leads

• Efficient discovery

• Market insights

4.3 Demand Side

Roles:

• Need specification

• Search/browse participation

• Interest expression

• Initial engagement

• Feedback provision

Requirements:

• Clear requirement specification

• Engagement protocol adherence

• Response timeliness

• Constructive participation

Benefits:

• Efficient discovery

• Relevant matches

• Clear value propositions

• Informed decision-making

5. Implementation Considerations

5.1 Technical Requirements

Core Systems:

• Matching engine

• Search platform

• Communication system

• Recommendation engine

• Analytics platform

Integration Points:

• Profile systems

• Rating systems

• Communication platforms

• Analytics tools

Data Requirements:

• Participant profiles

• Interaction history

• Preference data

• Behavioral data

• Performance metrics

5.2 Business Rules

Governance Requirements:

• Matching policies

• Communication standards

• Quality requirements

• Engagement protocols

• Privacy standards

Risk Considerations:

• <Insert key discovery-stage risk factors and mitigations>

Quality Standards:

• <Insert core quality requirements for discovery processes>

5.3 Success Factors

Critical Success Factors:

• Match quality

• Response time

• Engagement effectiveness

• User experience

• Discovery efficiency

Common Pitfalls:

• <Insert common discovery-stage challenges and solutions>

Best Practices:

• <Insert proven discovery domain practices>

6. Performance Management

6.1 Metrics

Key Performance Indicators:

• Match success rates

• Engagement rates

• Response times

• Conversion rates

• Satisfaction scores

Operational Metrics:

• <Insert operational performance measures>

Health Indicators:

• <Insert system health metrics>

6.2 Monitoring

Required Monitoring:

• Match quality

• Engagement patterns

• Response times

• User satisfaction

• System performance

Alert Conditions:

• <Insert key monitoring triggers and thresholds>

Review Processes:

• <Insert performance review procedures>

7. Evolution & Optimization

7.1 Maturity Levels

Initial Capability:

• Basic search and match

• Simple communications

• Standard recommendations

• Core analytics

Enhanced Capability:

• Advanced matching algorithms

• Rich communication tools

• Smart recommendations

• Comprehensive analytics

Advanced Capability:

• AI-powered matching

• Predictive recommendations

• Virtual engagement tools

• Advanced analytics/insights

7.2 Optimization Opportunities

Efficiency Improvements:

• <Insert key optimization areas>

Enhancement Paths:

• <Insert potential capability enhancements>

Innovation Opportunities:

• <Insert next-generation possibilities>

8. Domain Interactions

8.1 Upstream Domains

Input Requirements:

• Verified participant profiles

• Participant preferences

• Market parameters

Transition Handling:

• <Insert upstream transition processes>

Quality Checks:

• <Insert input validation requirements>

8.2 Downstream Domains

Output Requirements:

• Qualified matches

• Initial agreements

• Engagement history

• Match quality data

Transition Handling:

• <Insert downstream transition processes>

Quality Checks:

• <Insert output validation requirements>

9. Reference Materials

Domain Models:

• <Insert relevant model references>

Process Flows:

• <Insert key process documentation>

Implementation Guides:

• <Insert implementation documentation>