Case study · Education data + public systems

Student belonging: from survey data to district insight.

A confidentiality-aware overview of how large-scale survey evidence, student voice, and stakeholder context supported planning conversations at DC Public Schools.

DCPS Central OfficePanorama survey dataSummer 2025Public overview

01 · Context

Belonging is a lived experience and a system signal.

District survey data can surface patterns that individual anecdotes cannot, but the numbers still need context. The work connected Panorama survey analysis with conversations about culture, equity, student voice, and how adults and students share responsibility for school climate.

02 · Role and boundaries

Education Data & Innovation Intern, DCPS Central Office.

Publicly described work

Analyzed Panorama survey data, supported Culture Institute design and logistics, and contributed to systems for shared student-adult leadership.

What remains private

School-level results, respondent information, internal dashboards, district recommendations, and any sensitive stakeholder context.

03 · Evidence flow

Analysis was one part of a larger decision process.

More than thirty thousand survey responses move through analysis of belonging and culture patterns into stakeholder planning context
Public evidence mapThis graphic summarizes the workflow described in the public portfolio. It is not a reproduction of a confidential DCPS dashboard or internal deliverable.
Ayotunde Ejiko taking a group selfie with colleagues on the DCPS Becoming Team
The people behind the analysisThe belonging work was completed with DCPS colleagues and stakeholders, not as an individual project. Source: Ayotunde Ejiko LinkedIn image post, 2025.
Participants collaborating during a DCPS Culture Institute session
From evidence to implementationCulture Institute work connected analytical context with the adults and students responsible for shaping school climate. Source: Ayotunde Ejiko LinkedIn image post, 2025.

04 · Working approach

Move carefully from response to recommendation.

Frame

Start with the planning question

Clarify which belonging and culture decisions the analysis should help stakeholders discuss.

Analyze

Look for patterns, not isolated numbers

Review survey results for themes and differences that warrant closer contextual interpretation.

Interpret

Connect data with student experience

Use student voice and human-centered thinking to keep meaning attached to the metrics.

Support

Translate into stakeholder-ready insight

Help make the evidence usable in Culture Institute and shared-leadership conversations.

05 · Contribution

The value was analytical and relational.

Pattern recognition

Used survey evidence to surface belonging themes relevant to district planning.

Data storytelling

Translated analysis into language that could support conversation outside an analytics team.

Program support

Contributed to Culture Institute design and logistics alongside the analytical work.

Shared leadership

Supported structures intended to strengthen collaboration between students and adults.

06 · Limits

Confidentiality is part of responsible proof.

  • No raw student data, school-level results, or internal deliverables are published here.
  • The public 30K+ figure describes scale; it does not imply that Ayotunde alone designed or administered the survey.
  • This overview describes contribution and method without publishing internal district findings.
  • Claims are intentionally limited to the experience summary that can be shared publicly.

07 · What this work shaped

A durable interest in public-sector decision support.

The experience reinforced a direction that now appears across the portfolio: combine analytical evidence with the people, institutions, and implementation conditions that determine whether an insight becomes useful.

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