The strategy aims to assess the impact of generative AI on employees, focusing on roles, satisfaction, and productivity. One approach involves conducting employee surveys to gather insights on AI's effect on job roles and responsibilities. By offering incentives, it encourages higher participation rates, whereas follow-up interviews address significant concerns. Analyzing and summarizing these results helps leadership develop effective action plans.
Another aspect of the strategy is monitoring productivity metrics. Here, key performance indicators are established to measure productivity changes before and after AI implementation. Evaluations help understand shifts in productivity and guide decisions on further AI integration.
Lastly, employee skill development is evaluated. This involves identifying roles most impacted by AI, conducting skills gap analyses, and implementing training programs. Continuous feedback and refined training ensure employees are prepared for evolving job roles, aligning with AI integration. This proactive approach supports career development and addresses new responsibilities arising from AI use.
The strategies
⛳️ Strategy 1: Conduct employee surveys
- Develop a survey with questions focused on AI's impact on job roles and responsibilities
- Distribute the survey to all employees across departments
- Set a deadline for survey completion
- Offer an incentive for completing the survey to increase participation
- Analyse the survey results to identify key themes and concerns
- Schedule follow-up interviews with employees who expressed significant concerns
- Create a report summarising the survey findings
- Share survey insights with leadership and key stakeholders
- Develop an action plan to address concerns raised
- Regularly repeat the survey to track changes over time
⛳️ Strategy 2: Monitor productivity metrics
- Identify key performance indicators (KPIs) relevant to employee productivity
- Establish a baseline for current productivity levels without AI integration
- Implement generative AI tools in selected departments
- Monitor changes in productivity metrics post-AI implementation
- Compare the productivity data with baseline measurements
- Evaluate whether any productivity changes are statistically significant
- Conduct qualitative assessments with employees to understand productivity changes
- Adjust AI tools or provide additional training as necessary
- Create a report detailing the impact of AI on productivity
- Use the insights to make informed decisions on AI expansion
⛳️ Strategy 3: Evaluate employee skill development
- Identify roles most affected by generative AI integration
- Conduct a skills gap analysis within these roles
- Develop a training programme to upskill affected employees
- Implement mandatory training sessions for relevant staff
- Assess the effectiveness of training programmes through feedback and assessments
- Track changes in employee competencies over time
- Identify new roles or responsibilities emerging from AI integration
- Provide career development opportunities aligned with new AI-enhanced roles
- Gather ongoing feedback from employees about their professional development needs
- Regularly review and refine training programmes based on feedback and changing needs
Bringing accountability to your strategy
It's one thing to have a plan, it's another to stick to it. We hope that the examples above will help you get started with your own strategy, but we also know that it's easy to get lost in the day-to-day effort.
That's why we built Tability: to help you track your progress, keep your team aligned, and make sure you're always moving in the right direction.
Give it a try and see how it can help you bring accountability to your strategy.
