Part two: What are the steps to data-informed decision making in ECE?

Welcome back to the series on data-informed decision making in ECE! We're looking at what data-informed decision making is and how it can support leaders and educators in their work. In part one, we looked at the benefits of data-informed decision making. In this second part, we look at the steps involved.

The steps to data-informed decision making

Step 1: Identify the question

Data-informed decision making starts with a question. What do you want to know? What decision are you trying to make? What aspect of your practice or service do you want to understand better?

Good questions for data-informed decision making in ECE might include:

• How often are we sharing stories with families, and is this consistent across all rooms and children?
• Which families are least engaged with our communications, and what might be getting in the way?
• How is our documentation practice changing over time?
• What does our data tell us about children's transitions into our service?

Step 2: Identify the data

Once you have a question, you need to identify what data might help you answer it. This might include:

• Quantitative data from your management system (such as story rates, login frequency, or routine completion)
• Qualitative data from observations, reflections, or conversations
• Family feedback — formal (surveys) or informal (conversations, comments)
• Educator reflections and self-assessments

Step 3: Gather and organise the data

Gathering data systematically is important. This might mean setting up regular reporting processes, creating templates for capturing qualitative data, or reviewing existing records. The goal is to have data that is reliable, representative, and relevant to your question.

Step 4: Analyse and interpret

Analysis means making sense of the data you've gathered. What patterns do you notice? What surprises you? What confirms what you already knew? What raises new questions?

It's important to interpret data carefully, and to consider multiple explanations for what you're seeing. Data rarely tells a simple story — it usually requires judgment and context to interpret well.

Step 5: Make decisions and take action

The point of data is to inform action. Once you've analysed your data and identified what it tells you, the next step is to decide what to do about it — and then do it.

This might mean changing a practice, providing additional support, reallocating resources, or having a different kind of conversation with your team or with families.

Step 6: Review the impact

After you've taken action, it's important to review the impact. Did the change make a difference? How do you know? What does the data tell you now that you've made the change?

This step closes the loop and starts the cycle again — because data-informed decision making is not a one-off process, but a continuous cycle of inquiry, action, and reflection.

Tools to support data-informed decision making

Tools like Storypark can support data-informed decision making in ECE by providing leaders with insights into documentation practices, family engagement, and educator activity across their service. Storypark's reporting features allow leaders to see patterns and trends, identify areas of strength and areas for improvement, and track the impact of changes over time.

Used well, these tools can support a culture of continuous improvement — where data is part of how your service learns and grows, not just a compliance requirement.