OKR Maturity Levels

Criteria

1 - Initial

Don't know OKR

2 - Piloting

Testing OKR

3 - Systematic

Systematic implementation

4 - Mature

OKR in culture

5 - Innovation

OKR leadership

Description

Level characteristics

Organization doesn't know or is just getting familiar with OKR methodology. Existing goal management processes are absent or unstructured

Individual units/teams start piloting OKR. There's basic understanding of methodology, but application is inconsistent

OKR implemented at department level. Focus on customers and business results emerges

OKR fully integrated into organizational culture. Data-driven decision making

Organization uses OKR for continuous innovation and market leadership

Methodology Knowledge

Understanding level

Minimal understanding of OKR. Confusion between goals and tasks. Lack of unified terminology understanding

Basic understanding of OKR structure. Ability to distinguish goals from key results. Initial OKR formulation skills

Deep understanding of OKR principles. Ability to connect OKR with business strategy. Skills in cascading and goal alignment

Expert OKR mastery at all levels. Methodology adaptation to business specifics. Internal OKR trainers and coaches

OKR evolve with organization. Creating own best practices. Contributing to methodology development

Processes

Process maturity

No formalized goal-setting processes. Goals set chaotically, without system. Lack of regular process analysis

Pilot teams establish quarterly cycles. Irregular progress checks. Processes not yet standardized

Clear quarterly cycles established. Regular weekly check-ins. End-of-quarter retrospectives

OKR embedded in all business processes. Automated rhythms and cadences. Flexible cycle adaptation to needs

Dynamic cycles adapting to market. Real-time goal adjustments. Full automation of routine processes

Engagement and Culture

Cultural changes

Resistance to change. Lack of understanding goal-setting value. Teams work in isolation

First enthusiasts and change champions. Initial transparency culture formation

Wide methodology adoption. Feedback and continuous learning culture forms

OKR became part of organization DNA. High degree of team self-organization

Culture of experimentation and innovation. Teams inspire the industry

Communication

Communication transparency

Goals not communicated or communicated inconsistently. Lack of unified priority understanding

Pilot team OKR discussed periodically. Initial transparency within teams

Regular OKR communication at all levels. Goal transparency between departments

Full OKR transparency across organization. Culture of open progress and obstacle discussion

Proactive communication of achievements and failures. Best practice sharing with external organizations

Measurement and Results

Measurement system

No systematic measurements. Metrics collected sporadically. No connection between metrics and results

Basic metrics for pilot teams. Initial progress data collection. Simple dashboards

Systematic metric collection and analysis. Progress monitoring dashboards. Connection between OKR and business results

Advanced analytics and predictive models. Automated alerts. Data-driven decision making culture

Advanced data analysis technologies. AI-powered insights. Benchmarking with industry best practices

How OKRsana helps at each level

AI Assistant Value

• Learning materials: Interactive goal-setting and OKR information, examples of properly set OKR
• Support: Chatbot with answers to questions
• Demo mode: Ability to try the system with examples
• OKR plan verification with detailed recommendations and learning through working with recommendations
• Example library: Real cases of successful OKR

Everything from previous level +
• Integration with familiar goal-setting and task-tracking tools

Everything from previous level +
• Dependency management: Cross-team OKR tracking
• Goal alignment: Visual maps of OKR connections
• Check-in automation: Reminders and update collection
• Advanced analytics: Trends, goal achievement forecasts
• API and webhooks: Deep integration with corporate systems

Everything from previous level +
• AI recommendations: Data-driven OKR improvement suggestions
• Benchmarking: Comparison with industry indicators

Everything from previous level +
• Advanced AI: Innovative OKR generation based on trends

Innovative solutions
Industry leadership
Expert guidance

OKR Maturity Levels

Description

Methodology Knowledge

Processes

Engagement and Culture

Communication

Measurement and Results

How OKRsana helps at each level

1 - Initial

Description:

Communication:

Measurements:

OKRsana helps:

2 - Piloting

Description:

Communication:

Measurements:

OKRsana helps:

3 - Systematic

Description:

Communication:

Measurements:

OKRsana helps:

4 - Mature

Description:

Communication:

Measurements:

OKRsana helps:

5 - Innovation

Description:

Communication:

Measurements:

OKRsana helps:

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