Machine Learning Project Kickoff Meeting Agenda
This is a practical guide to building a kickoff meeting agenda for a machine learning project project — the agenda that aligns the team and stakeholders at project start, adapted to the realities of building and deploying a machine-learning model.
What a Kickoff Meeting Agenda is
A kickoff meeting agenda is the agenda that aligns the team and stakeholders at project start. For the full concept and how it works in general, see Kickoff Meeting. On a machine learning project project it plays the same role, tuned to this kind of work.
Why it matters for a Machine Learning Project project
Machine Learning Project projects live or die on building and deploying a machine-learning model. A well-built kickoff meeting agenda gives the team a shared, explicit reference for exactly that — reducing ambiguity, aligning stakeholders, and making problems visible early enough to act. Skipping it, or doing it generically, is how machine learning project projects drift into avoidable delay and cost.
What to include
- Purpose and objectives
- Scope and plan walkthrough
- Roles (RACI)
- Ways of working
- Next steps
Machine Learning Project-specific considerations
Tailor the kickoff meeting agenda to the risks that most often derail machine learning project projects:
- Data labelling and quality
- Model drift
- Productionisation and monitoring
Example
On a real machine learning project project, the kickoff meeting agenda would be shaped by building and deploying a machine-learning model. In particular, it should explicitly account for the project’s biggest risks — data labelling and quality, model drift, productionisation and monitoring — rather than treating them as afterthoughts.