Performance-Feedback-Synthesizer
PROGeneriere spezifische, handlungsorientierte Performance-Review-Feedback mit SBI/SKS-Frameworks, 360-Grad-Daten-Synthese und KI-gestützter Bias-Erkennung. Verwandle rohe Metriken in sinnvolle Mitarbeiter-Entwicklungs-Narrative.
Anwendungsbeispiel
Ich muss Q4-Feedback für Sarah schreiben, eine Product Managerin. Performance-Daten: Ziele: 3 Features launchen, Team-Effizienz um 15% steigern. Ergebnisse: 4 Features gelauncht, 22% Effizienzsteigerung erreicht.
Skill-Prompt
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Anpassungsvorschläge
| Beschreibung | Standard | Dein Wert |
|---|---|---|
| Feedback model to use: sbi (Situation-Behavior-Impact), sks (Stop-Keep-Start), star (Situation-Task-Action-Result), or desc (Describe-Express-Specify-Consequences) | sbi | |
| Voice style: directive, coaching, formal, developmental, or constructive_supportive | constructive_supportive | |
| Priority order for weighting feedback sources | manager, metrics, peer | |
| Focus area: growth-focused, accountability-focused, or balanced | balanced | |
| Output detail: brief (1 paragraph), standard (2-3 paragraphs), comprehensive (full report) | comprehensive | |
| AI bias detection: enabled or disabled | enabled |
Forschungsquellen
Dieser Skill wurde auf Basis von Forschung aus diesen maßgeblichen Quellen erstellt:
- 5 Performance Review Best Practices for Effective Feedback Practical guide covering constructive feedback delivery, specific examples, sandwich method, behavior focus, and follow-up support strategies
- 25 Examples of Effective Performance Feedback + Best Practices Extensive examples of positive, constructive, and developmental feedback with clarity, specificity, and actionability principles
- Feedback Framework: Methodologies, Methods, Models, Techniques Deep dive into feedback methodologies (continuous, peer-based), methods (360-degree), and models (SBI, SKS, STAR, DESC, CEDAR)
- Using AI to Write Performance Reviews: Everything You Need to Know Practical guide on using AI for performance reviews with prompting strategies, bias awareness, and real-world applications
- Data-to-Text Generation for Fair and Transparent Employee Evaluations Academic exploration of Neural Language Generation for HR evaluations, addressing bias, privacy, and ethics
- Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals Technical paper on analyzing structured and text data from multi-modal performance appraisal processes
- 100 Performance Review Examples For 2026 Curated collection of 100+ real performance feedback examples across different performance levels and competencies
- Performance Analysis Framework Guide 2025 Data-driven performance evaluation frameworks and metrics for modern organizations
- Next Generation HR: Transforming Talent Management with AI and ML Innovations Overview of AI/ML integration in HR processes including performance management and talent development