Prioritize your AI features with a visual impact vs effort matrix. Get strategic roadmaps, timeline estimates, and implementation recommendations to maximize your AI investment.
Input your AI features with impact and effort scores using our intuitive interface.
See your features positioned on an impact vs effort matrix for clear prioritization.
Download your personalized roadmap with timeline and resource recommendations.
Add AI features to see prioritization recommendations
Make data-driven decisions about which AI features to build first with our visual prioritization framework.
See your features positioned on an impact vs effort matrix for clear decision making
Get a prioritized implementation sequence with timeline and resource estimates
Maximize return on investment by focusing on high-impact, low-effort features first
Realistic timeline estimates based on industry benchmarks and feature complexity
Everything you need to know about prioritizing AI features and using our impact vs effort matrix calculator.
Impact measures business value: revenue increase, cost savings, customer satisfaction, competitive advantage. Effort measures implementation complexity: development time, resource requirements, technical difficulty, integration complexity. Use 1-10 scale where 10 is highest impact/effort.
Impact is the business value a feature will deliver - how much it will help achieve your goals. Effort is how hard it will be to build and implement - time, resources, and complexity required. High impact, low effort features are your 'quick wins'.
Features with dependencies should be built in sequence. The calculator considers dependencies when generating your roadmap. Build foundational features first, then dependent features. This ensures smooth implementation and reduces risk.
Start with your best estimate and adjust as you learn more. The calculator provides industry benchmarks to help guide your scoring. You can always update scores as you gather more information from stakeholders and technical teams.
Estimates are based on industry benchmarks from 1000+ AI implementations. Actual timelines and values may vary based on your specific requirements, team capabilities, and market conditions. Use these as starting points for planning.
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