Research & Design
Transforming Early Education Opportunities and Principles for Data Integration for Equitable Outcomes

Walking through a tidy preschool center to a small conference room, the center’s administrator walked us through a multitude of charts that she used to understand children’s progress. Despite all the data, she shared her perspective on what she felt was a barrier to ensuring that children learn and become ready for kindergarten: “You only get better outcomes if you get better instruction. So if you're not measuring instruction, you're not measuring the thing that actually helps the children improve.”
This sentiment is just one example of the frustration in early childhood education around the disconnect between measurement and outcomes. Educators often grapple with fragmented information and disparate data, hindering their ability to effectively assess child development, adapt instructional lessons for individualized child needs, provide tailored support, and equip families with the ability to supplement their child’s development at home.
To address this critical need, Renaissance Learning, supported by the Gates Foundation—Early Learning, partnered with Optimistic Design and Trackosaurus on a design research project to explore how a data integration platform could enhance the experiences of teachers and administrators, especially those serving children from historically marginalized backgrounds.
Design Research Approach
Taking a human-centered design approach, we focused on first understanding the current state of pre-K assessments, curricula, and data use through onsite qualitative research, interviewing and observing teachers and administrators from preschool centers in various regions in the U.S. We followed this onsite research with co-design sessions with teachers and administrators, project stakeholders, as well as experts who advised Optimistic Design throughout the project. Finally we synthesized our findings into clear recommendations and design principles that can guide the development of a data integration platform.
Our work was grounded in the targeted universalism framework, an approach that sets a universal goal for everyone, followed by targeted strategies to achieve those goals, particularly focusing on marginalized groups. In our case, the universal goal is equitable assessments and improved outcomes for all children, with targeted strategies focusing on children from Black, Latine, multilingual, and low-income backgrounds. We centered our research and design efforts on priority children from these groups, and the educators who serve them.
“Little scraps of paper”
We visited centers in four different states: Minnesota, Ohio, California, and Washington, interviewing 22 teachers, administrators, and coaches. Teachers shared how they track, document, and share childrens’ progress, as well as the types of systems they use for doing so. These firsthand conversations uncovered key pain points faced by those who use assessment tools every day.
- Teachers juggle a wide range of responsibilities, limiting the time they can dedicate to instructional planning and individual child support. Documentation is manual and time-consuming; oftentimes, important notes are captured in ‘little scraps of paper’ and other analog media.
- Administrators need to optimize how data is utilized to make decisions about the program in order to better support instructional planning. Navigating the responsibilities of connecting curriculum to assessments to state standards is not always clear. Often, the easiest path is to use boxed curricula that might not fully serve a center’s needs.
- Teachers and administrators want to leverage caregivers as collaborators in their child’s learning. Parents and caregivers sometimes feel reluctant to engage, particularly if they struggle with language or had traumatic school experiences themselves.
- Programs face increasing pressure to meet funder requirements. Reporting to a variety of funders is a major pain point for administrators, with different disaggregation needs, as well as shifting requirements.
Co-design with educators
Armed with insights from our onsite interviews, we held co-design workshops with Renaissance Learning, our expert advisers, and educators: teachers and administrators. Using “how might we” prompts—a method often used in the human-centered design process—the Optimistic Design team led workshops in which participants generated feature ideas for what an ideal platform would include, with areas of exploration focused on AI. The “how might we” prompts included:
- How might we… inform a teacher’s instructional planning when there are many kids with different needs?
- How might we… handle different demographic data requests from funders?
- How might we… support a strengths-based understanding of child progress to share with caregivers?
- How might we… adapt processes if/when state or local reporting requirements change?
The workshops not only served as a creative form of ideation but also acted as an empowering experience for teacher and administrator participants. One teacher noted, “I’ve actually been really afraid of AI, but this has helped me see the different opportunities there are to use it and how it could actually help in the classroom.”
Opportunity Areas for a Data Integration Platform
Optimistic Design further synthesized the outputs of the research interviews and the co-design sessions into three core phases of the data use process, which informs how a data integration platform might factor in a teacher or administrator’s day-to-day work. The three areas are:
- data collection, which is the preparation and adaptation of teacher documentation to generate child assessment data.
- data review and analysis, in which teachers monitor child and program progress and plan next steps, and
- data reporting, the preparation of and sharing of data for caregivers and funders.
With a focus on how AI could enhance the user experience, we created an overarching “how might we” prompt for teachers and administrators, and collected a series of opportunity areas for each of the phases of the process.

“Threading the Needle” Between State Standards and Instructional Practice
The necessity of aligning early learning standards of various states with assessments and curricula continued to surface through our validation with stakeholders. We learned of extraordinary variation in standards, curriculum choices, and assessment tools and practices across early education programs. In order to improve outcomes, designing an ecosystem that both accommodates this complexity and supports high-quality use of aligned assessments, curricula, and standards is a must.
As a result, the model for a new data integration platform needs to thread the needle between these different variables in order to improve instructional practices and align with standards.

For example, imagine you were an administrator running a pre-K program in your state. A new AI-enabled data integration platform could take the state of Ohio’s early learning standards and expand Ohio’s those standards into development trajectories for each skill using the latest research, thus creating an “assessment framework” specifically tailored for your state.
As a program administrator, you can then use the platform to align the curriculum you are using to the assessment framework. You can also ensure that tasks from third party assessments, such as those conducted on tablets, can be mapped by AI to the state standards through the assessment framework.
This model would allow for flexibility between requirements (state standards) and bespoke instructional planning, ensuring that teachers assess and teach in a way that gives them flexibility (especially in better serving children who need extra support), but also maps to existing standards.
Design Principles for a New Way of Integrating Data
Lastly, we considered design principles for the creation of a new data integration platform. Design principles are intended to be used throughout the design and development process, and ensure that decisions are grounded in the voice and perspective of end users, so we don’t lose sight of the research and co-design that informed potential design solutions.
For this project, we prioritized an approach to AI that has been called “human in the loop”: “We envision a technology-enhanced future more like an electric bike and less like robot vacuums. On an electric bike, the human is… fully in control, but their burden is less, and their effort is multiplied by a complementary technological enhancement. With this in mind, we created five design principles that could give shape and intentionality to the development of a data integration platform.
Tailored: The platform creates customized connections between existing standards, curricula, and assessments.
Anticipatory: The platform proactively anticipates user needs and surfaces relevant information in response to user input.
Familiar: An easy-to-use experience that feels like existing tools and reduces the cognitive load for end users.
Human Feedback Loop: Users can inform future suggestions of the platform through overrides and feedback, making the system better through use.
Interoperable: Integrates with existing solutions and systems.
Concluding Thoughts
To ensure that the future of early learning is data-informed and equitable, we’ve focused on—and need to continue focusing on—the needs of children who’ve been most marginalized and the perspectives of educators who serve them. Those educators are doing vital work, but they’re doing it with fragmented tools and limited support. As we move forward, these opportunity areas and principles serve as a blueprint for building early childhood data integration tools that are not only functional, but truly responsive to those who rely on them. Now is the time to reimagine what’s possible in early childhood education through co-design with educators, with better outcomes for children.
At Optimistic Design, as individual designers, we arrived at the organization with our own versions of Equity-Centered Design mindsets, processes, and tools. We continue to learn and develop the practice within our organization. Many of our approaches are heavily influenced by our individual, lived experiences as designers with intersecting marginalized identities as well as racial and social justice movements, abolition, systems thinking, social work, disability activism, etc. We look to practitioners like Antionette Carroll, Liz Jackson, and Sasha Constanza-Chock who continue to integrate traditional design education and practices. We have valued and learned from the work of Design Justice Network and the Equity Design Collaborative.
Want to learn more about our Equity-Centered Design work? Contact us.
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