← Thursday's Architecture

Try Feedback Analysis Pipeline 🎮

Interactive demo - From raw feedback to product roadmap in minutes

August 22, 2025
📊 Product Management🎮 Interactive🚀 Production-Feel

Stop drowning in feedback spreadsheets. Watch AI turn chaos into clarity.

Monday: learned 3 prompts for feedback analysis. Tuesday: automated the pipeline. Wednesday: saw how 4 teams use it. Thursday: reviewed the architecture. Friday: try the actual system. Upload feedback, watch theme extraction, see roadmap generation, toggle between Product/UX/Eng/CS views.

Try Different Scenarios

Or Select Complexity Level

💰 ROI & Cost Savings Calculator

Adjust sliders to see potential savings for your product team. Calculate time saved, cost reduction, and payback period.

5 people

Number of people on product team (PMs, designers, researchers)

$140,000

Average annual salary for product team members

8 hrs/week

Hours per week spent manually analyzing feedback

80%

Expected time savings from AI automation (80% = 8 hours → 1.6 hours)

Annual Savings

$112,000

Per year with automation

Payback Period

5.4 mo

Time to recover investment

Before vs After Comparison

Annual Cost (Before)
80% reduction

Before

$140,000

After

$28,000

Time Spent (Before)
80% improvement

Before

2,080 hrs

After

416 hrs

Team Productivity
40% improvement

Before

100%

After

140%

Annual Savings
Infinity% improvement

Before

$0

After

$112,000

Time Saved
Infinity% improvement

Before

0 hrs

After

1,664 hrs

ROI Summary

3-Year Savings:$336,000
5-Year Savings:$560,000
ROI (Year 1):224%

These calculations are estimates based on your inputs. Actual results may vary.

🤖 🤖 Watch Multi-Agent Intelligence System Collaborate

See the orchestrator make decisions and route between specialized agents

Example Scenario
Processing 'Performance Crisis' feedback with 11 entries
1
🎯Orchestrator
Receive feedback batch
→ 11 feedback entries detected. Route to Extraction Agent.
2
🔍Extraction Agent
Parse and categorize feedback
→ 3 themes extracted: Slow Performance (8), App Crashes (2), Churn Risk (1)
3
🎯Orchestrator
Check data quality
→ Confidence: 95%. Route to Validation Agent.
4
✓Validation Agent
Assess completeness and quality
→ Data quality: excellent. Flags: Revenue risk, viral impact, sales blocker.
5
🎯Orchestrator
Decide next step
→ High-severity flags detected. Route to Prioritization Agent.
6
🎯Prioritization Agent
Score themes by impact/urgency
→ Slow Performance: 10/10 impact, 10/10 urgency. App Crashes: 9/10 impact, 9/10 urgency.
7
🎯Orchestrator
Check for critical issues
→ Critical issues found (2 themes scored 9+). Route to Roadmap Agent.
8
🗺️Roadmap Agent
Generate quarterly plan
→ Q4 2025: Performance sprint (90% eng capacity, 6-8 weeks). Success metrics defined.
9
🎯Orchestrator
Final decision
→ Roadmap complete. Flag as P0 - Critical. Notify stakeholders.
💡
No human intervention. Orchestrator made 5 routing decisions autonomously based on data quality, severity flags, and scoring thresholds. This is multi-agent collaboration at work.

🛠️ Build Your Own Product Workflow

Pick agents from the palette below to build your custom workflow, then simulate execution.

Available Agents (10)

Your Workflow

Add agents above to build your workflow

How to Use This Demo

  1. 1Select a scenario button (Performance Crisis, Mobile Demand, etc.) or paste your own feedback
  2. 2Click 'Process Feedback' to watch the AI pipeline work through all 3 prompts
  3. 3See real-time processing: extraction → scoring → roadmap generation
  4. 4Toggle between Analyst/Product/Exec/Ops views to see different perspectives
  5. 5Try all 4 scenarios to see how the system handles different feedback types
  6. 6Check 'Watch Agents Collaborate' section to see autonomous decision-making
🚀

Want This Built for Your Product Team?

This demo shows what's possible. We build it production-ready, integrated with your tools (Intercom, Zendesk, Linear, Jira), and custom to your workflows. From raw feedback to roadmap decisions in minutes, not days.