About the Course

Research and technical evidence only create value when decision-makers, funders, communities, media and the public can interpret what the findings mean and what they do not mean. Dense technical language, weak visual explanation and overstated conclusions can reduce trust and limit the uptake of otherwise valuable research.

This course develops the ability to translate research evidence for non-specialist audiences without sacrificing accuracy. It covers evidence interpretation, audience analysis, plain-language writing, data visualization, policy briefs, research storytelling, media engagement, uncertainty communication, digital dissemination and impact measurement.

Participants will transform a technical report or dataset into a portfolio of communication products for different audiences. Outputs include a plain-language summary, policy brief, evidence message house, visual explainer, media brief and dissemination plan.

Target Participants

Researchers, research communication officers, monitoring and evaluation professionals, policy analysts, scientists, academics, think-tank personnel, programme specialists, knowledge-management staff and communication professionals supporting technical teams.

What You Will Learn

By the end of this course the participants will be able to:

• Interpret research findings for communication without distorting evidence.
• Identify the information needs of policy, media, community and funder audiences.
• Write clear plain-language summaries and policy-oriented briefs.
• Visualize data and evidence responsibly for non-specialist audiences.
• Communicate uncertainty, limitations and contested findings accurately.
• Prepare researchers for media and public engagement.
• Develop dissemination plans that improve the reach and use of evidence.

Course Duration

• Classroom – 5 Days
• Online – 7 Days

Course Outline

Evidence Communication Foundations

• Purpose of research communication
• Evidence audiences
• Accuracy versus accessibility
• Common distortion risks
• Communication role in research uptake

Evidence Interpretation

• Identifying core findings
• Distinguishing results from interpretation
• Understanding limitations
• Assessing strength of evidence
• Selecting communication-relevant insights

Audience Analysis

• Policy audience needs
• Media information needs
• Community information needs
• Funder and partner needs
• Prioritizing audience questions

Plain Language

• Reducing technical jargon
• Sentence and paragraph clarity
• Explaining technical terms
• Using examples and analogies
• Testing readability

Policy Brief Writing

• Policy brief purpose
• Problem and evidence structure
• Options and implications
• Recommendation language
• Executive summary discipline

Data Visualization

• Selecting appropriate chart forms
• Avoiding misleading scales
• Annotating key findings
• Visual hierarchy
• Accessibility in data graphics

Research Storytelling

• Narrative structure for evidence
• Case examples and human context
• Balancing story with data
• Avoiding anecdotal overreach
• Developing evidence-led narratives

Uncertainty Communication

• Confidence and limitations
• Communicating ranges and scenarios
• Contested evidence
• Correcting misinterpretation
• Maintaining trust when evidence changes

Research Media Practice

• Research media briefs
• Preparing researchers for interviews
• Explaining methods simply
• Responding to sensational questions
• Correcting inaccurate reporting

Evidence Dissemination

• Channel selection
• Stakeholder dissemination plans
• Digital evidence products
• Tracking uptake and use
• Developing an evidence communication portfolio

Practical Outputs

• Plain-language research summary
• Policy brief
• Evidence message house
• Data visualization
• Research media brief
• Dissemination plan
• Evidence uptake tracker

Training Approach

Participants work with research excerpts and datasets, rewrite technical material for multiple audiences, build simple visual explanations and practise interviews where uncertainty must be communicated clearly. The final portfolio demonstrates how one evidence base can be translated without changing its meaning.

Organizational Benefits

• Improved accessibility of technical and research outputs
• Reduced risk of overstating findings
• Stronger policy and stakeholder use of evidence
• Better preparation of researchers for public engagement
• Clearer data visualization
• More effective dissemination of institutional research
• Improved trust through transparent communication of uncertainty

Certification

Participants who successfully complete this course will receive a Certificate of Course Completion from Devimpact Institute, recognizing the knowledge, practical skills and competencies developed through the programme.

Tailor-Made Course

This course can be customized and delivered as an in-house programme to address the specific policies, systems, sector context and capacity-development priorities of an organization. The course duration, modules, case studies and practical exercises may be adjusted following a training needs assessment.