Métricas hiperproductivas
Hyper-Productive metrics are designed to help Scrum Masters carefully tune their teams into a hyper-productive state. Hyper-Productivity is defined as a 400% increase in Velocity over the baseline Velocity with corresponding quality. The baseline Velocity (100%) is established for a team during their first Sprint.
Tiempo estimado para este curso: 105 minutes
Audiencia: Avanzado
Requisitos previos sugeridos: Velocidad, Scrum Master
Una vez finalizado:
- Be versed on the 10 KPIs that make up the Hyper-Productive metrics
- Understand the reasons for having more metrics than just Velocity
- Learn how to calculate Hyper-Productive metrics
- Know how to use Hyper-Productive metrics to keep your team(s) tuned
- Cualificarse para el PMI PDUs. Véase PREGUNTAS FRECUENTES para más detalles
Hyper-Productive Metrics Overview:
These metrics are also applicable across Teams. A menudo es difícil para la dirección determinar la productividad de un Equipo frente a otro, ya que el valor de los Puntos de Historia puede variar de un Equipo a otro.
Ver y descargar las diapositivas
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The Metrics
- Velocity - ∑ of original estimates of all accepted work
- Work Capacity - The sum of all work reported during the Sprint, whether the Backlog Item toward which the work was applied finished or not.
- Focus Factor - Velocity ÷ Work Capacity
- Percentage of Adopted Work - ∑(Original Estimates of Adopted Work) ÷ (Original Forecast for the Sprint)
- Percentage of Found Work - ∑(Original Estimates of Found Work) ÷ (Original Forecast for the Sprint)
- Accuracy of Estimation - 1-(∑ (Estimate Deltas) ÷ Total Forecast)
- Accuracy of Forecast - (∑Original Estimates) ∑ (∑ Original Estimates + ∑Adopted Work + ∑Found Work)
- Targeted Value Increase - (TVI+)Current Sprint’s Velocity ÷ Original Velocity
- Success at Scale - For each Point on the Fibonacci Scale (Fp), the formula is: (∑ No. Accepted Attempts of scale Fp) ÷(No. of All Attempts of scale Fp)
- Win/Loss RecordEach Sprint is a Win only if: a) A minimum of 80% of the Original Forecast is Accepted and b) Found + Adopted Work During the Sprint remains at 20% or less of the Original Forecast.
Papers
S. Downey and J. Sutherland, Hawaii International Conference on Software Systems, Maui, Hawaii, 2013
Terapia de choque: Un método para ser hiperproductivo Scrum
J. Sutherland, S. Downey y B. Granvik, en Ágil 2009Chicago, 2009.