Behind the book

The research behind a data culture teachers can trust.

The ideas in Data-Informed, People-Driven come back to one pretty simple point: data works better when people feel safe enough to use it honestly. The research below explains why trust, shared belief, useful feedback, and clear information matter so much.

01 · Trust

Trust is part of the infrastructure.

Bryk and Schneider found that relational trust helps schools collaborate and sustain improvement. That matters for data work because teachers need to be able to surface a concern, question a pattern, or admit that a strategy didn't work without wondering how the information will be used against them.

A healthy data culture doesn't ask people to trust a dashboard. It builds the conditions that let people learn together.

Anthony S. Bryk and Barbara Schneider, Trust in Schools

02 · Belief

Teams need to see that their actions matter.

Collective teacher efficacy is the shared belief that educators can positively influence student outcomes. Donohoo and Hattie connect that belief to stronger outcomes, but it doesn't grow from a motivational speech. It grows when teams experience success together and can see the connection between what they tried and what changed for students.

Small, visible wins are evidence. And that evidence gives a team a reason to keep going.

Jenni Donohoo, Collective Efficacy · John Hattie, Visible Learning

03 · Literacy

Data literacy grows through real decisions.

Mandinach and Gummer describe data literacy as more than reading a chart correctly. Educators build it through inquiry: identify a need, ask a useful question, choose a response, collect evidence, and decide what to do next.

That cycle keeps learning attached to actual students and classroom decisions. Data becomes something teachers use, not something they wait for someone else to interpret.

Ellen B. Mandinach and Edith S. Gummer, Data Literacy for Educators

04 · Feedback

Useful feedback arrives while there is still time to act.

Black and Wiliam's work on formative assessment shows the value of quick, everyday checks. They help teachers catch misunderstandings early enough to adjust instruction before a benchmark or final assessment confirms what can no longer be changed.

The same idea applies to school systems. Leading indicators and short feedback loops give teams a chance to respond. Lagging data mostly tells them what already happened.

Paul Black and Dylan Wiliam, “Inside the Black Box”

05 · Safety

Honest learning requires psychological safety.

Edmondson's research found that teams learn more and take smarter risks when people feel safe enough to speak honestly, ask questions, and share mistakes. In schools, that changes the tone of a data meeting. The conversation can move from “Who caused this?” to “What are we noticing, and what should we try?”

When people are protecting themselves, they can't be curious. And curiosity is kind of the whole job here.

Amy C. Edmondson, “Psychological Safety and Learning Behavior in Work Teams”

06 · Clarity

Clutter makes the thinking harder.

Sweller's work on cognitive load helps explain why a crowded dashboard can stop a conversation before it starts. People have limited working memory. When the visual makes them hunt for the point, energy gets spent decoding the display instead of deciding what to do.

Clear visuals lower that load. The important pattern becomes easier to see, discuss, and act on.

John Sweller, “Cognitive Load During Problem Solving”

07 · Context

Numbers need the people who know the story.

Rosling's work is a useful reminder that numbers help us understand the world, but they can't do that alone. A score can show a pattern. A teacher can explain the lesson, the student, the support that was tried, and what happened in the room.

The strongest decisions use both. Quantitative information shows what may be happening, and human context helps a team understand why.

Hans Rosling, Ola Rosling, and Anna Rosling Rönnlund, Factfulness

08 · Change

The human part of change is not optional.

Fisk's work on data-informed leadership makes room for pace, discipline, courage, and the human factor. A technically sound system can still fail when it moves too quickly, ignores staff experience, or asks people to comply before they understand the purpose.

Sustainable change takes structure, but it also takes people being involved early enough to help shape it.

Selena Fisk, Leading Data-Informed Change in Schools

What this looks like

Keep the cycle small enough to use.

The research doesn't point toward collecting more. It points toward building better conditions for people to notice, decide, try, and learn together.

That means one shared question, a small amount of useful data, a response the team can actually carry out, and a follow-up close enough to the work that the result still matters.

It's also the thinking behind Symplifyed. The platform connects the support a teacher tried with the student response, keeps the visuals clear, and gives teams something concrete to reflect on together. The technology isn't the strategy. It just helps the strategy survive the actual school week.

See how Symplifyed works

Sources cited in the book

Full references

Black, Paul, and Dylan Wiliam. “Inside the Black Box: Raising Standards Through Classroom Assessment.” Phi Delta Kappan 80, no. 2 (1998): 139–148.

Bryk, Anthony S., and Barbara Schneider. Trust in Schools: A Core Resource for Improvement. Russell Sage Foundation, 2002.

Donohoo, Jenni. Collective Efficacy: How Educators' Beliefs Impact Student Learning. Corwin, 2017.

Edmondson, Amy C. “Psychological Safety and Learning Behavior in Work Teams.” Administrative Science Quarterly 44, no. 2 (1999): 350–383.

Fisk, Selena. Leading Data-Informed Change in Schools. Solution Tree Press, 2019.

Hattie, John. Visible Learning: A Synthesis of Over 1,200 Meta-Analyses Relating to Achievement. Routledge, 2018.

Mandinach, Ellen B., and Edith S. Gummer. Data Literacy for Educators: Making It Count in Teacher Preparation and Practice. Teachers College Press, 2016.

Rosling, Hans, Ola Rosling, and Anna Rosling Rönnlund. Factfulness: Ten Reasons We're Wrong About the World and Why Things Are Better Than You Think. Flatiron Books, 2018.

Sweller, John. “Cognitive Load During Problem Solving: Effects on Learning.” Cognitive Science 12, no. 2 (1988): 257–285.