Interpreting and Using Matrix Results

Once you've plotted your workstreams in the Impact vs. Feasibility matrix, you'll see them land in one of four quadrants. Each tells you something different about what to do next.

Quick Wins: Immediate Action

High impact, high feasibility

These are your quick wins. They deliver clear benefits without major barriers, which makes them perfect for early AI pilots.

Start here. These workstreams demonstrate early success, build confidence, and create momentum for broader AI initiatives.

Example: Automating routine client reporting quickly improves client satisfaction while freeing up internal resources.

Major Projects: Strategic Investments

High impact, lower feasibility

These workstreams require more effort, planning, or resources, but their strategic value makes them worth it.

With careful preparation and resource allocation, you can often improve feasibility by breaking them into smaller pieces or increasing granularity.

Example: Transforming complex auditing processes into AI-driven workflows takes substantial planning but offers major long-term efficiency gains and competitive advantage.

Fill-In Projects: Easy Wins, Limited Reward

High feasibility, lower impact

These are tempting because they're easy to accomplish quickly. But they may offer limited strategic value.

Consider these selectively, perhaps when you have resources available between larger, more strategic initiatives.

Example: Automating minor administrative tasks like internal scheduling is helpful, but it's not game-changing.

Thankless Tasks: Avoid or Defer

Low impact, low feasibility

These offer minimal value and can consume unnecessary resources.

Unless conditions change significantly, it's usually best to defer or avoid these initiatives altogether.

Example: Updating rarely-used internal reporting processes that involve complex legacy systems and offer negligible improvement.

Practical Guidance for Matrix Application

Regularly Revisit the Matrix: Conditions change. What seemed hard six months ago might be easier now. Regular reassessment keeps your prioritization relevant.

Balance Your Portfolio: Aim for a healthy mix. Prioritize quick wins first, strategically plan major projects, carefully select fill-in tasks, and consciously avoid thankless ones.

Enhance Granularity Strategically: For high-impact but challenging projects, consider breaking them down. Granularity can transform major projects into achievable wins.

By clearly interpreting your matrix results, you'll make informed, confident decisions that drive successful and efficient AI adoption across your firm.