Get Tability: OKRs that don't suck | Learn more →

2 strategies and tactics for Strategic Prioritization

What is Strategic Prioritization strategy?

Every great achievement starts with a well-thought-out plan. It can be the launch of a new product, expanding into new markets, or just trying to increase efficiency. You'll need a delicate combination of strategies and tactics to ensure that the journey is smooth and effective.

Crafting the perfect Strategic Prioritization strategy can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.

Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.

How to write your own Strategic Prioritization strategy with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own strategies.

Strategic Prioritization strategy examples

You'll find below a list of Strategic Prioritization tactics. We also included action items for each template to make it more practical and useful.

Strategies and tactics for positioning AI projects on a two-axis strategy map

  • ⛳️ Strategy 1: Prioritise high influence and easy acquisition projects

    • Identify AI projects with high corporate influence and technology that is easy to acquire
    • Allocate resources and budget towards these projects for quick wins
    • Establish a timeline for rapid implementation and deployment
    • Communicate the strategic importance of these projects within the organisation
    • Build a cross-functional team to support fast execution
    • Develop measurable KPIs to track project success and influence
    • Create a feedback loop for continuous improvement
    • Document successes for internal case studies
    • Benchmark project outcomes with similar industry projects
    • Ensure compliance with corporate policies during project execution

  • ⛳️ Strategy 2: Enhance capabilities for high influence and difficult acquisition projects

    • Conduct thorough feasibility studies to understand technology gaps
    • Seek partnerships or alliances with technology providers to ease acquisition
    • Invest in employee training to build internal capabilities
    • Develop a long-term roadmap for technology integration
    • Secure executive sponsorship to ensure project alignment with corporate strategy
    • Break down projects into phases for manageable implementation
    • Regularly assess and mitigate risks associated with technology difficulties
    • Identify and leverage internal champions to drive progress
    • Utilise pilot projects as stepping stones for full-scale deployment
    • Set clear milestones and evaluation criteria to measure progress

  • ⛳️ Strategy 3: Redirect resources for low influence projects

    • Identify low influence projects and assess their strategic value
    • Engage with stakeholders to reassess project alignment with corporate goals
    • Evaluate whether projects can be repositioned to increase their influence
    • Consider scaling down or halting projects that do not add value
    • Redirect resources towards higher influence or strategically critical initiatives
    • Leverage learnings from these projects to inform future project selection
    • Ensure there is clear communication to stakeholders about strategic decisions
    • Explore potential for salvageable components or innovations within projects
    • Create a portfolio review process to avoid similar low impact projects
    • Document reasoning and outcomes for organisational learning
ai-projectsstrategic-prioritizationproject-managertechnology-evaluatorcross-functional-teamcorporate-strategy-team
Implement these strategies

Strategies and tactics for transitioning to a Data-Driven Culture in DRC OpCo

  • ⛳️ Strategy 1: Expand Data Literacy and Training Programmes

    • Conduct a comprehensive needs assessment to identify specific data literacy gaps across departments
    • Develop tailored training modules focusing on Power BI, data analysis, and other relevant tools
    • Set up a training schedule with mandatory participation across all levels
    • Assign training champions in each department to facilitate ongoing education
    • Use a blended learning approach, incorporating online resources and in-person workshops
    • Track and measure training uptake and competency improvement using assessments
    • Reward employees for successful completion of training sessions with recognition or incentives
    • Include data literacy as a key component in performance evaluations
    • Review and update training content regularly to ensure relevance and effectiveness
    • Create an internal data literacy certification programme to formalise skill acquisition

  • ⛳️ Strategy 2: Enhance Data Governance and Quality Management

    • Establish a clear data governance policy with defined roles and responsibilities
    • Create a Reporting Council to oversee the implementation of data standards
    • Standardise data formats and classification across all functions
    • Conduct regular audits to ensure compliance with data standards
    • Develop a data quality dashboard to track and report on data hygiene
    • Implement data quality training sessions for employees responsible for data input
    • Set up a feedback loop for employees to report data quality issues
    • Integrate governance processes into daily operations to ensure consistent practice
    • Encourage cross-departmental collaboration to harmonise data handling practices
    • Introduce a data ownership model to instill accountability for data quality

  • ⛳️ Strategy 3: Model Data-Driven Leadership and Cultural Change

    • Train leadership in data-driven decision-making and role modelling behaviours
    • Conduct workshops showing the benefits of data-driven culture transformation
    • Set up regular forums where leaders discuss data-driven successes and challenges
    • Incorporate data-driven goals into leadership performance metrics
    • Launch internal campaigns to communicate the strategic importance of data use
    • Highlight data-driven initiatives through internal communications and newsletters
    • Establish mentorship programmes pairing experienced leaders with emerging data champions
    • Recognise and reward leaders who effectively champion data-driven culture
    • Embed data-driven principles into organisational values and mission statements
    • Facilitate storytelling events where leaders share real-world impacts of data-driven actions
data-driven-culturedata-literacytraining-championdata-governance-officerdata-governance-teamleadership-team
Implement these strategies

How to track your Strategic Prioritization strategies and tactics

Having a plan is one thing, sticking to it is another.

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

More strategies recently published

We have more templates to help you draft your team goals and OKRs.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

Table of contents
Copyright © 2024 Tability