Day 25: Measure the Impact

Quantifying AI’s Value

You need numbers to justify continued investment. Not vague “we’re more productive” claims — concrete, defensible metrics that resonate with leadership. Here’s how to measure what matters.

The Three Categories

1. Time Savings (Easy to Measure)

Track how long tasks took before and after AI workflows:

Workflow	Before AI	With AI	Weekly Savings
Newsletter drafting	45 min/day	10 min/day	2.9 hours
SEO metadata (per batch)	2 hours	15 min	1.75 hours
Social content per article	30 min	5 min	Varies by volume
Content packages	4 hours	45 min	3.25 hours
Internal link audit	Never done	10 min	N/A (new capability)

2. Quality Improvements (Medium to Measure)

• SEO completeness — % of posts with meta descriptions before vs. after
• Internal link density — Average links per article before vs. after
• Taxonomy health — Number of orphaned tags before vs. after cleanup
• Platform coverage — How many platforms each article reaches now vs. before

3. Revenue / Engagement Impact (Hard but Powerful)

• Organic traffic change — After SEO metadata improvements
• Newsletter open/click rates — AI-assisted vs. manually written
• Time on site / recirculation — After internal linking improvements
• Content velocity — Articles published per week before vs. after

Exercise: Build Your Dashboard

Help me create an AI impact report for our editorial team.
Using data from our site, compile:

1. Content velocity: posts published per week for the last 8 weeks
2. SEO completeness: % of recent posts with excerpts/meta descriptions
3. Average internal links per article (last 20 posts)
4. Content types produced (articles, newsletters, social posts)

Format this as a clear report I can share with leadership.
Include a "before" baseline (week 1 numbers) and "current" numbers.

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