Impact & Evaluation Manager
Produce funder reports and impact summaries
What You Do Today
Write evaluation reports for funders, board members, and stakeholders. Translate data into compelling narratives that demonstrate impact while being honest about challenges and learning.
AI That Applies
AI generates report drafts from data, creates infographics and visualizations, and ensures reports address specific funder requirements.
Technologies
How It Works
The system aggregates data from multiple operational systems into a unified analytical layer. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — report drafts from data — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Report generation accelerates with AI drafting data-heavy sections and creating visualizations.
What Stays
Crafting impact narratives that are both compelling and truthful, and presenting challenges as learning rather than failure, require communication skill and professional integrity.
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 produce funder reports and impact summaries, 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 produce funder reports and impact summaries 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 VP Operations or COO
“Which of our current reports are manually assembled, and how much time does that take each cycle?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“What questions do stakeholders actually ask that our current reporting doesn't answer?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.