2026/10 - From Production Metrics to Management Decisions (Lisa Kretschmer - IO Interactive)
Version du programme : 1
Type de formation
DistancielDurée de formation
8 heures (4 jours)Accessibilité
Oui2026/10 - From Production Metrics to Management Decisions (Lisa Kretschmer - IO Interactive)
Every production runs on numbers: velocity, bug counts, build stability, milestone burndown. Far fewer teams can say which of those numbers should actually change a decision. This two-day course takes participants from raw production data to defensible management calls. Working on real dashboards from two project stages, they learn to separate signal from noise, to reframe the same data for developers, producers and executives, and to spot the biases that distort judgement under pressure. They leave with a practical framework for deciding when the data is incomplete, which is most of the time. October 6th & 7th - 9:00am-1:00pm every day (CET Time) - Remote training (GR1) October 13th & 14th - 9:00am-1:00pm every day every day (CET Time) - Remote training (GR2) I - Production metrics : types, definitions, examples II - Metrics & target audience III - From metrics to decisions IV - Forecasting, biases & judgement V - Where AI can help VI - Decision-making with imperfect information
Objectifs de la formation
- Classify production metrics across four core categories - delivery, quality, team health and predictability -, and identify where each one originates in their own pipeline.
- Assess whether a metric is decision-useful or noise, and adapt its reading to the audience at hand: developers, producers or executive stakeholders.
- Separate decision quality from outcome quality, and evaluate a past call on the strength of its reasoning rather than on the result it happened to produce.
- Detect early warning signals and blind spots by reading weak signals in combination rather than in isolation, and situate each risk within their own sphere of influence.
- Name and counter the biases that most affect production forecasting: planning fallacy, optimism, confirmation, availability, sunk cost, survivorship and escalation of commitment.
- Apply a structured method to decide under incomplete information: state what is known, name the blind spots, weigh the risk, commit, and set an explicit review point.
Profil des bénéficiaires
- Producers
- Developers
- Leads
- Baseline understanding of a game’s production and development process
Contenu de la formation
Production metrics : types, definitions, examples
- Why they matter
- Value and usefulness of metrics: good vs bad metrics
- Exercise: Data review with closing-phase & ideation-phase dashboards
From metrics to decisions
- Decisions vs. outcomes
- Risk indicators & blind spots
- Sphere of influence
- Exercise: Dashboard review
Forecasting, biases & judgement
- Forecasting & business decisions
- Cognitive biases
- Exercise: Production council scenario
Équipe pédagogique
Suivi de l'exécution et évaluation des résultats
- Practical exercises and periodic quizzes throughout the day to reinforce and check understanding.
Ressources techniques et pédagogiques
- Participants are welcomed into a dedicated virtual training room accessible via video conferencing, ensuring a consistent and interactive learning environment throughout the session. Training content is shared on-screen in real time, combining theoretical presentations with practical case studies to reinforce understanding through applied examples. Interactive exchanges and Q&A moments are encouraged throughout to support engagement at a distance. All training materials are made available online following the session, allowing participants to revisit key concepts and consolidate their learning at their own pace.
Qualité et satisfaction
Modalités de certification
- Issuance of a Certificate of Completion
Délai d'accès
Accessibilité
For companies wishing to have their training costs covered by their OPCO, registration must be completed no later than two weeks before the start of the training to meet the OPCO’s processing deadlines. In all other cases, registrations can be accepted up to two business days before the start of the training. Accessibility: We are available to work with individuals with disabilities to assess the accommodations needed so they can comfortably participate in the training programs offered.