Director of Communications
Report communications impact to leadership
What You Do Today
Quantify the impact of communications — media coverage value, message penetration, employee engagement, and reputation metrics. Connect comms work to business outcomes.
AI That Applies
Communications analytics — AI aggregates metrics across all channels and attributes business outcomes to communications activities.
Technologies
How It Works
The system ingests channels and attributes business outcomes to commu as its primary data source. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The output is a structured view that highlights exceptions, trends, and items requiring attention — available in the existing tools without switching systems.
What Changes
You move from vanity metrics (impressions, clips) to business impact: 'The product launch campaign generated 47 media placements, 2.3M social impressions, and a 15-point awareness increase in our target segment.'
What Stays
Translating communications impact into business language and making the case for continued investment — that's your value at the leadership table.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for report communications impact to leadership, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long report communications impact to leadership takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CMO or VP Marketing
“Which of our current reports are manually assembled, and how much time does that take each cycle?”
They set the AI investment priorities for marketing
your marketing automation admin
“What questions do stakeholders actually ask that our current reporting doesn't answer?”
They know what capabilities exist in your current stack that you're not using
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.