Value Canvas

Evaluate value proposition, feasibility, and risks

What This Node Does

Identifies all beneficiaries and their specific value, classifies value types (public/institutional/commercial), assesses 3 types of feasibility (technical, economic, policy), identifies risks and failure modes, and suggests an implementation roadmap.

Role: Smart City Value Proposition Analyst

Inputs

system_architecture	From System Architect
problem_statement	From Problem Framer
user_profile	From Problem Framer

Outputs

value_proposition

Beneficiary analysis, value classification, feasibility assessment, risk analysis, roadmap

How to Configure on Coze

01Create an LLM Agent node, name it "Value Canvas"

02Model: doubao-seed-2-0-lite-260215, temperature 0.3

03Paste the system prompt

04Define inputs: system_architecture, problem_statement, user_profile

05Define output: value_proposition (string)

06Connect from System Architect and Problem Framer

Tips & Common Issues

Be specific about WHO benefits and HOW — avoid generic statements

All 3 feasibility types must be addressed: technical, economic, policy

The node references HK Smart City Blueprint 2.0 — know what it says

Be honest about risks — the prompt explicitly asks for this

Example

Input

System: 4-layer parking prediction system. Users: CUHK students, staff.

Output

{"value_proposition": "Beneficiaries: Students (save 15-20min/day, reduce stress), Campus management (optimize parking utilization, reduce congestion), Environment (less circling = lower emissions). Value Types: Public (student welfare), Institutional (campus efficiency), Commercial (potential paid premium service). Feasibility: Technical ✓ (existing APIs + simple ML), Economic ✓ (free data, low compute), Policy ✓ (aligns with Blueprint 2.0 smart mobility). Risks: API reliability, sensor maintenance, user adoption. Roadmap: Prototype (W1-8) → Pilot (W9-12) → Deploy (post-course)."}

Connects To

This node's output feeds into the Skill Generator node.

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