Problem Framer

Transform vague observations into structured problem statements

What This Node Does

Analyzes your urban observation and produces a structured problem statement with clear scope, measurable impact, and a target user profile. It does NOT propose solutions — only frames the problem.

Role: Urban Problem Framing Expert

Inputs

project_description

Your description of the urban phenomenon (1-3 sentences)

Outputs

problem_statement	Core problem, scope/boundaries, measurable impact
user_profile	Primary users, secondary stakeholders, affected groups

How to Configure on Coze

01Create an LLM Agent node on the canvas

02Name it "Problem Framer"

03Set model to doubao-seed-2-0-lite-260215

04Set temperature to 0.3 (low — consistent structured output)

05Paste the system prompt from the node template

06Define input variables: project_description (string), project_domain (string)

07Define output variables: problem_statement (string), user_profile (string)

Tips & Common Issues

Be specific in your project description — include location, time, and who is affected

If the output is too broad, add geographic or demographic constraints to your input

The node explicitly does NOT propose solutions — if it does, check your system prompt

This node's outputs feed directly into the Data Stack Designer

Example

Input

CUHK campus students spend too much time finding parking spots during peak hours (8-10am, 12-2pm).

Output

{"problem_statement": "At CUHK, students face significant difficulty finding available parking during peak hours. Demand exceeds capacity by ~40% during 8-10am, 12-2pm, and 5-7pm. Students spend 15-20 minutes searching, leading to congestion and frustration.", "user_profile": "Primary: CUHK students who drive (500-800 daily). Secondary: Faculty, staff, campus security, parking management. Affected: Students with mobility issues, wider campus community."}

Connects To

This node's output feeds into the Data Stack Designer node.

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