Team-Feedback-Konsole
Reason tags
Aktive Gewichte
Erfahrung24.0%
Startup-Geschwindigkeit18.0%
PI-Kapazitaet14.0%
Competitor-Abdeckung14.0%
CTGov-Relevanz16.0%
Operative Stabilitaet10.0%
Sponsor-Fit4.0%
prototype 02
Site Feasibility mit Team-Feedback
Team-Policy lernt aus Multi-User-Feedback. Serielle Single-User-Dislikes werden gedeckelt; Gewichtsanpassungen brauchen Konsens.
Basis-Filterkontext
Vorher (Team-Basis)
#1 Research Site
Seoul, South Korea
score: 84.6
#2 Research Site
Beijing, China
score: 80.5
#3 Research Site
Lima, Peru
score: 65.4
#4 Research Site
São Paulo, Brazil
score: 63.8
#5 Research Site
Sofia, Bulgaria
score: 63
#6 Research Site
Philadelphia, United States
score: 49.7
#7 Research Site
Athens, Greece
score: 47.9
#8 Research Site
Montreal, Canada
score: 45.3
Nachher (gelernte Team-Policy)
#1 Research Site
Seoul, South Korea
score: 84.6
#2 Research Site
Beijing, China
score: 80.5
#3 Research Site
Lima, Peru
score: 65.4
#4 Research Site
São Paulo, Brazil
score: 63.8
#5 Research Site
Sofia, Bulgaria
score: 63
#6 Research Site
Philadelphia, United States
score: 49.7
#7 Research Site
Athens, Greece
score: 47.9
#8 Research Site
Montreal, Canada
score: 45.3
Rangverschiebung
#1 Research Siteafter #1 (0)
#2 Research Siteafter #2 (0)
#3 Research Siteafter #3 (0)
#4 Research Siteafter #4 (0)
#5 Research Siteafter #5 (0)
#6 Research Siteafter #6 (0)
#7 Research Siteafter #7 (0)
#8 Research Siteafter #8 (0)
#9 Research Siteafter #9 (0)
#10 Research Siteafter #10 (0)
Konsens-Schutzregeln
Feedback-Log (Audit)
Noch kein Feedback.
update log
Prototype Change Log
2026-03-01 · v0.3.0
Team-Policy-Persistenz und Konsens-Aggregation
- - Persistente Team-Profile und serverseitiger Feedback-Event-Store hinzugefuegt.
- - Multi-User-Konsens-Aggregation fuer aktive Gewichtsanpassung integriert.
- - Anti-Missbrauchsregeln ergaenzt: Tages-Cap pro User, Abklingfaktor bei Serienfeedback, max. Shift pro Dimension.
2026-03-01 · v0.2.0
Human-Feedback-Verstaerkung hinzugefuegt
- - Before-vs-after Ranking-Vergleich hinzugefuegt.
- - Explizite Feedback-Aktionen (like/dislike) mit Gruenden eingebaut.
- - Adaptive Gewichtsanpassung plus Audit-Log integriert.