Foundation/2021/OKRs
Mozilla Foundation 2021 OKRs
Mozilla Foundation is fueling a movement for a healthy internet.
This document outlines the Mozilla Foundation’s organizational objectives and key results (OKRs) for 2021.
- Objectives = “What do we want to do and why?”
- Key Results = “How will we know if we’re successful?”
These objectives were developed based on our work in 2020, and are linked to our multi-year Trustworthy AI theory of change, with links to specific short term outcomes.
In 2021, the Foundation will also continue to increase its focus on Diversity, Equity and Inclusion, both internally and externally. Most OKRs have DEI related activities. Also, the Foundation is developing a multi-year DEI strategy that builds on past efforts, including our 2020 Racial Justice Commitments.
Related documents:
- Mozilla AI theory of change + Mozilla AI Paper
- Trustworthy AI 3 year trajectories (tied to first 4 OKRs)
- Mozilla Foundation 2020 OKRs
Org-wide OKRs
2021 OKRs are informed by Mozilla Foundation's three year narrative arcs.
OKR 1: Making AI Transparency the Norm: Test AI transparency "best practices" to increase adoption by builders and policymakers.
Responsible: Ashley Boyd
| # | Key Results | KR Lead |
|---|---|---|
| 1.1 | X# of citations of Mozilla’s AI transparency best practices by builders. | Eeva Moore |
| 1.2 | 25 citations of Mozilla data/models by policymakers as part of AI transparency work. | Brandi Geurkink |
| 1.3 | 5 ‘best practice’ reports published to provide evidence about value to consumers. | Becca Ricks |
OKR 2: Modeling Good Data Stewardship: Accelerate more equitable data governance alternatives to advance trustworthy AI.
Responsible: J Bob Alotta
| # | Key Results | KR Lead |
|---|---|---|
| 2.1 | 7 projects tested with real users to identify building blocks for viable data stewardship models. | Mehan Jayasuriya |
| 2.2 | 5 regulatory jurisdictions utilize our input to enable collective data rights for users. | Mathias Vermeulen |
| 2.3 | 6 stakeholder groups established as constituents of the Data Futures Lab. | Kasia Odrozek |
OKR 3: Mitigating AI bias: Accelerate the impact of people working to mitigate bias in AI.
Responsible: Ashley Boyd
| # | Key Results | KR Lead |
|---|---|---|
| 3.1 | X% increase in investments for AI + bias grantees. | Jessica Gonzales |
| 3.2 | X# people participate (share stories, donate data, etc.) in projects on mitigating bias in AI as a result of Mozilla promotion. | Xavier Harding |
| 3.3 | Pipeline of additional projects Mozilla can support to mitigate bias in AI established. | Roselyn Odoyo |
OKR 4: Growing Across Movements: Strengthen partnership with diverse movements to deepen intersections between their primary issues and ours, including trustworthy AI.
Responsible: J Bob Alotta
| # | Key Results | KR Lead |
|---|---|---|
| 4.1 | Phase 1 Landscape analysis is complete and we have identified partner movements. | Hanan Elmasu |
| 4.2 | The Foundation’s African Mradi workstream centering local expertise is developed. | TBD (pending hire) |
| 4.3 | Synchronize internal operations to strengthen ability to strategically partner externally. | Lindsey Frost Dodson |
OKR 5: Organizational Effectiveness: Enhance our organizational systems and capabilities to support more data-informed decision-making.
Responsible: Angela Plohman
| # | Key Results | KR Lead |
|---|---|---|
| 5.1 | 2022 planning and budget decisions driven by systematic evaluation of our work in 2021. | Lainie DeCoursy |
| 5.2 | 100% of teams have workflows and reports that are supported by our integrated CRM. | Jackie Lu |
| 5.3 | Complete data analysis that reveals best approaches for converting ‘subscribers’ to ‘donors’. | Will Easton |