aes26 International Evaluation Conference

Why you should leave evaluation (and come back!)
Author: Delyth Lloyd, Australian Centre for Evaluation
After 15 years as an AES member, I stepped away from evaluation for a one-year hiatus. What began as a brief stint in an implementation role quickly transitioned into a fast and furious year using every evaluation skill I had to offer. I negotiated in hard spaces, navigated power dynamics, held space for diversity and ethical complexities. Busy people asked for more rubrics and used them in practice! This presentation distils insights from my transition out of, and back into, the sector. It reflects on the evaluation competencies we hold, and highlights how deeply they are valued by others.

The Evaluation Pub Test: Simple Questions for Public Value 
Author: Amanda Taylor-Short, ARTD
Publicly funded evaluations carry an implicit responsibility to contribute to public good. In practice, evaluations are often viewed as mechanisms for accountability in government decision‑making. This can reinforce a focus on compliance, program‑specific detail, and predefined questions, limiting broader reflection about the contribution of a program and leaving simple but important questions unexplored. This creates a missed opportunity to connect evaluation work with the people and decisions it exists to inform. This presentation explores the Evaluation Pub Test: examining evaluator responsibility to support public value, the benefits of answering simple questions, and considerations for deciding which questions are worth answering.

From scientist to evaluator: Lessons beyond numbers 
Author: Heather Bryan, First Person Consulting
This Ignite traces one evaluator’s unlikely journey from a postgraduate ecologist in Latin America to an honours student modelling climate impacts, and later a data analyst at the Australian Bureau of Statistics - before arriving at the unexpected doorstep of evaluation. Along the way came a new appreciation for the value of qualitative evidence. This talk shares three lessons motivated by moving beyond numbers: outliers are insights rather than errors, stories explain what numbers can’t, and subjectivity, when acknowledged rather than ignored, can strengthen evaluation. Together, these lessons invite a broader view of evidence, where individual stories bring meaning.

Seeing through their eyes: Photo-Elicitation in Evaluation
Author: Estelle Gaillard, CSIRO
Images can ignite conversation, evoke emotions, elicit reflection and spark new ways of thinking. Photo-elicitation uses photographs in interviews to prompt participants to share insights into their lived experiences that might not surface through standard questions. This Ignite presentation will introduce the method, show practical examples of its use in evaluation and outline the photo-elicitation process. Attendees will leave reflecting on whether — and how — photo-elicitation could fit into their own evaluation toolkit.

Making Space for Boba and Beats: Valuing Grassroots Reality with an Evaluation MVP
Author: Anabelle (Pin-Ju) Chen, Taiwan Pride Sydney
For a volunteer-run grassroots NFP, traditional evaluation often occupies the very space intended for community action. When resources are scarce, every hour spent on data collection undermines the operational realities of the place where we operate. As the President and Evaluator of Taiwan Pride Sydney, I faced this tension at the 2026 Sydney Mardi Gras. How do you measure the cultural impact of a 'Lanterns of Ecstatica, Taiwan Lighting up Asia' float when the generator dies, the music cuts out, and you are forced to march giant illuminated bubble tea cups in total silence?
This Ignite presentation proposes a Minimum Viable Product (MVP) for evaluation. By shifting the focus to macro-validation and systemic consequences, I will demonstrate how grassroots organisations can engineer a structurally sound evidentiary argument that survives real-world disaster. Using aggressive dimensionality reduction and cognitive anchoring, we can design evaluation MVPs that extract maximum validated learning with minimum administrative friction. Let's spill the tea on how to make space for rigorous evaluation when absolutely nothing goes to plan.