Storytime AI home

Evidence & research

The science we build from. The methodology we ship with.

Storytime is grounded in the converging cognitive-science consensus on how children learn to read — not in a single proprietary methodology. Here's the research that shapes our product decisions and the methodology behind our assessment instruments.

Five-pillar foundation.

Storytime instruction targets phonemic awareness, phonics, fluency, vocabulary, and comprehension — the five pillars identified by the National Reading Panel (2000) and replicated in 25+ years of cognitive science.

ESSA Tier 4 evidence rationale, documented.

Storytime maintains a published logic model + research base meeting the ESSA Tier 4 ("Demonstrates a Rationale") standard. Tier 2 / Tier 3 evidence comes from pilot evaluations — partnerships welcome.

Transparent methodology.

Our placement assessment uses 12 universal SoR checkpoints validated against established screeners. ORF scoring uses Hasbrouck & Tindal benchmarks. Skill Tree mastery levels map to grade-band norms.

For district procurement

Read the full ESSA Tier 4 evidence rationale.

The documented theory of action: how each platform component connects to the Science of Reading research base, organized by ESSA tier, with the full peer-reviewed reference list and our evaluation plan. Designed to survive a district legal review.

Read the evidence rationale

Reading list

The research we lean on most.

A starter list of studies, retrospectives, and journalism that informs how Storytime is designed. Not a complete bibliography — a credible-skeptic's reading order.

  • Teaching Children to Read — Report of the National Reading Panel

    National Reading Panel, 2000 — the five-pillar foundation of evidence-based reading instruction

  • Reading in the Brain

    Stanislas Dehaene, 2009 — neural basis of reading, the visual word form area ("letterbox")

  • An update to compiled ORF norms — Reading Teacher

    Hasbrouck & Tindal, 2017

  • Sold a Story

    Emily Hanford / American Public Media, 2022 — investigative reporting on three-cueing

  • The Simple View of Reading

    Gough & Tunmer, 1986 — decoding × language comprehension

For research partners

Studying our platform? We'll partner.

We provide de-identified datasets, instrumentation hooks, and IRB cooperation for legitimate research partnerships. ESSA-evidence study designs welcome.

Contact us about a partnership

About the authors

Written and edited by the Storytime AI founding team.

  • Brian Carlson, Co-founder & CEO

    Brian Carlson

    Co-founder & CEO

    Co-founder and CEO of Storytime AI. Leads the company from Baltimore, building a literacy platform that meets every reader where they are — anchored to the Science of Reading.

    LinkedIn
  • Scott Quinlan, Co-founder & CTO

    Scott Quinlan

    Co-founder & CTO

    Co-founder and CTO of Storytime AI. Owns engineering, product infrastructure, and the agentic growth pipeline — from the platform's AI generation engine to the structured-literacy content surface district leaders evaluate.

    LinkedIn
  • Kate Dwyer, Co-founder & CMO

    Kate Dwyer

    Co-founder & CMO

    Co-founder and Chief Marketing Officer at Storytime AI. Translates Science-of-Reading research and product capability into language teachers, parents, and district leaders can act on. Based in the Washington DC–Baltimore area.

    LinkedIn