About

Better evidence should lead to better decisions.

Evidence2Impact helps organizations ask meaningful questions about their programs, gather reliable evidence, and use what they learn to improve their work and report outcomes and impact.

Organizations need different kinds of support: a program evaluation, a logic model or theory of change, clearer outcomes and measures, reliable data systems, or staff skills to interpret and report results. Evidence2Impact designs practical approaches around those needs, whether an organization is building from the beginning or improving what it already has.

The goal is not simply to produce a report. It is to help organizations ask better questions, understand what their evidence is telling them, identify opportunities to improve, and communicate results with confidence.

About Chris Allio, Principal

Chris Allio is the founder and Principal of Evidence2Impact. He brings more than 15 years of experience supporting program evaluation, performance measurement, project management, and organizational learning across complex U.S. government, international, and mission-driven initiatives.

His work has included designing and managing evaluations, developing performance frameworks and indicators, leading mixed-methods research, facilitating stakeholder engagement, synthesizing qualitative and quantitative evidence, and translating findings into practical recommendations for decision-makers.

Through Evidence2Impact, Chris brings that experience to organizations seeking rigorous evaluation support that is collaborative, accessible, and proportionate to their needs and resources.

Working principles

Useful before impressive:
Evaluation should help someone make a decision, improve a program, or understand impact—not simply generate more documentation.

Rigor that fits the context:
Methods should be credible and defensible while remaining appropriate to the organization’s questions, resources, and capacity.

Collaboration over extraction:
Staff, participants, and stakeholders bring essential knowledge. Evaluation should engage that expertise respectfully.

Build capacity while delivering:
Whenever possible, leave organizations with stronger tools, clearer measures, and greater confidence using evidence themselves.

Communicate clearly:
Complex findings should be translated into language and visuals that boards, funders, staff, and communities can use.