By the end of this module you will be able to monitor, evaluate, and report on your activities in ways that protect participants, improve quality, and demonstrate impact.
When your session ends, your work is not over. Monitoring and Evaluation (M&E) carry the learning forward. They help you:
Protect participants by identifying risks, unmet needs, and unintended consequences
Improve practice by clarifying what worked, what did not, and why
Demonstrate impact to funders, partners, and communities, building trust and support
Contribute to wider knowledge so others can learn from your work
Think of monitoring as tracking the journey in real time (what happened, when, and how), and evaluation as reflecting afterwards on the destination (what changed, for whom, and why). Both are needed to close the loop.

Image caption: Monitoring and Evaluation Steps.
Before you measure, be clear on what you want to learn. Ask yourself:
What do I want to understand from this activity?
How will I know if participants experienced benefits?
How can this help me improve next time?
Keep goals simple: protect participants, improve quality, communicate value.
You cannot measure everything. Focus on what matters most in astronomy and well-being.
Well-being: mood, stress, connectedness
Learning: recall of one astronomy anchor or concept
Skills: noticing, clarifying values, choosing a next step
Inclusion and safety: access needs met, opt-outs respected, no unmanaged incidents
Fidelity: awe, perspective, or ACT-inspired reflection delivered as intended
Equity: who attended, who benefited, and who may have been left out
Translate outcomes into clear indicators such as:
Sliders (0–10) for mood, stress, connectedness
% recalling the astronomy anchor
Number of incidents and how they were resolved
Attendance by age or language
Keep data collection light but consistent.
Essentials:
One paper or phone form with 3 sliders and 2 open questions
A tick-box for values-based next step
A short fidelity checklist for facilitators
An incident note template
An attendance record
Optional add-ons (if ethics and capacity allow): a short validated scale or a 2–4 week follow-up message.
Accessibility matters: offer options (paper and phone), use plain language, large font, and audio if possible.
Collect baseline data at arrival
Gather post-session data before closing
Optionally follow up after 2–4 weeks
Consent should be short and clear.
Example:
“We will collect three sliders and two questions. You may skip any item or withdraw at any time. Your responses are anonymous, stored securely, and used only in group summaries.”
Triangulate perspectives to build a fuller picture:
Participants: quick sliders, what helped most, what to change
Facilitators: 24-hour debrief on what worked, what did not, what to try next
Partners: short email or call to confirm safety and relevance for their group
Analysis does not need to be complicated. Focus on clarity.
Numbers: average change on sliders, % recall, incidents, fidelity achieved
Themes: top three points from open responses (what helped, what to change, barriers)
Quotes: one or two that capture the experience
Equity: ask whether some groups benefited less and why
Turn results into action.
Use an After Action Review: What was expected? What happened? What went well? What will we change?
Apply a Plan–Do–Study–Act cycle: plan one change, test it, study results, act to adapt or adopt.
This creates a rhythm of continuous improvement.
Reporting is about closing the loop, not ticking boxes. Share results with those who participated, supported, and delivered the activity.
A strong one-page summary includes:
Who took part and the context
What was done and how many joined
3–5 headline results
One participant quote
Planned improvements for next time
Contact or support information
Keep tone plain, transparent, and respectful. Never share personal details without explicit consent.
Check whether the core ingredients were delivered:
Content notice and opt-out provided
Awe or perspective moment included
Reflection or values-based action offered
Grounding or present-moment cue provided
Ethics are non-negotiable: collect only what you need, store data securely, report in aggregate, and delete raw data on schedule.

Image caption: Types of Evaluation.
Different types of evaluation answer different questions:
Process (Formative): How was the activity implemented? What worked, what did not, and for whom?
Impact (Summative): Did outcomes change? To what extent were changes due to the activity?
Feasibility: Could this be scaled up or repeated sustainably?
Economic: Was it cost-effective compared to alternatives?
Theory-based: Did the project follow its intended theory of change, and were mechanisms confirmed in practice?
Evaluation is powerful but not always appropriate. Avoid heavy evaluation when:
The project is very small and measurement would outweigh its value
The activity has no observable outcomes (e.g. simply aiming to inspire wonder)
The design is too complex to evaluate meaningfully
There is no clear hypothesis or goal
Outcomes are obvious without formal measurement
In these cases, focus on basic monitoring: attendance, safety, simple reflections, and team debrief.
Good M&E is proportionate. Keep in mind:
Cost: larger projects may devote 10–20% of budget; small projects should keep it light
Burden: avoid overwhelming facilitators or participants
Scope: measure what matters, not just what is easy to count
Monitoring and Evaluation is about more than data. It is about creating a culture of learning, trust, and safety. Done well, it strengthens your practice, protects participants, and builds evidence for the unique role of astronomy in mental health and well-being.
Keep it proportionate, ethical, and practical. Focus on what matters most, share results openly, and use every cycle to get better.