[Visualizing Assembly Reality with AI] Highest 89, Lowest 2. Launch of 'Qoo Score' to Unbiasedly Evaluate Local Politicians' Questioning Power via AI
LLC Qoo has introduced 'Qoo Score,' an AI system that objectively scores the 'questioning power' of local assembly members using official minutes and advanced LLM technologies. Developed by a former city councilor, it aims to shift politician evaluation from 'quantity' to 'quality and results.'
📋 Article Processing Timeline
- 📰 Published: March 31, 2026 at 19:00
- 🔍 Collected: April 1, 2026 at 13:39 (18h 39m after Published)
- 🤖 AI Analyzed: April 22, 2026 at 01:01 (491h 22m after Collected)
LLC Qoo, a GovTech developer (Headquarters: Osaka, CEO: Mikito Sugiyama), has developed 'Qoo Score,' a unique system that analyzes official records of local assemblies and objectively evaluates the 'questioning power' of council members using the latest AI techniques such as 'LLM-as-a-Judge,' 'Multi-Agent Debate,' and 'Domain-Specific Prompt Engineering.'
This system was fully algorithmized as AI prompts by our CEO, who has 8 years of experience as a former Osaka City Councilor, reflecting the 'behind-the-scenes of responses' and the 'structure of truly valuable administrative oversight.'
▼ Qoo Score Introduction Site (Details and Data Purchase):
https://qoollc.co.jp/qoo_score/
As a test model, AI completely analyzed the questioning data of all 74 councilors who appeared at the Osaka City Council (FY2025 Budget Special Committee). To ensure complete objectivity and independence of evaluation, Qoo Score data is not sold to individual politicians, political parties, or political organizations, but is provided exclusively to media outlets, academic research institutions, and general corporations.
[Background: Breaking Old Evaluation Standards of 'Number of Questions = Excellence']
Until now, local politicians have typically been evaluated by superficial 'quantity' metrics such as how many times they asked questions in the assembly. However, these numbers do not guarantee a politician's practical ability or quality.
Unfortunately, there are politicians who simply read prepared scripts, emotional politicians without objective data, or those who fail to draw meaningful responses from the administration, despite having a high frequency of questioning. These politicians waste significant time and costs.
Qoo Score was born to fundamentally update the standards for evaluating local politicians by using the cold logic of AI to eliminate human bias and evaluate based on 'quality and results'—specifically, whether they secured concrete commitments from the administration through logical negotiation, rather than the frequency or length of questioning.
[System Features: '6-Stage Relentless Audit' to Prevent Hallucinations]
This is not a simple AI judgment; we have constructed a sophisticated multi-stage audit process modeled after the judicial system.
This system was fully algorithmized as AI prompts by our CEO, who has 8 years of experience as a former Osaka City Councilor, reflecting the 'behind-the-scenes of responses' and the 'structure of truly valuable administrative oversight.'
▼ Qoo Score Introduction Site (Details and Data Purchase):
https://qoollc.co.jp/qoo_score/
As a test model, AI completely analyzed the questioning data of all 74 councilors who appeared at the Osaka City Council (FY2025 Budget Special Committee). To ensure complete objectivity and independence of evaluation, Qoo Score data is not sold to individual politicians, political parties, or political organizations, but is provided exclusively to media outlets, academic research institutions, and general corporations.
[Background: Breaking Old Evaluation Standards of 'Number of Questions = Excellence']
Until now, local politicians have typically been evaluated by superficial 'quantity' metrics such as how many times they asked questions in the assembly. However, these numbers do not guarantee a politician's practical ability or quality.
Unfortunately, there are politicians who simply read prepared scripts, emotional politicians without objective data, or those who fail to draw meaningful responses from the administration, despite having a high frequency of questioning. These politicians waste significant time and costs.
Qoo Score was born to fundamentally update the standards for evaluating local politicians by using the cold logic of AI to eliminate human bias and evaluate based on 'quality and results'—specifically, whether they secured concrete commitments from the administration through logical negotiation, rather than the frequency or length of questioning.
[System Features: '6-Stage Relentless Audit' to Prevent Hallucinations]
This is not a simple AI judgment; we have constructed a sophisticated multi-stage audit process modeled after the judicial system.