Multi-Tiered Systems of Support (MTSS) has transformed how schools identify and serve students with communication needs. For SLPs, MTSS shifts the role from evaluator-and-service-provider to tiered partner — contributing to universal support, targeted intervention, and intensive individualized services depending on where a student falls in the system. Effective participation in MTSS requires data: the right data, collected consistently, and presented in ways that drive team decision-making.
The SLP's Role in MTSS
SLPs contribute differently at each tier, and understanding those differences prevents both under-involvement (the SLP only shows up at Tier 3) and over-extension (the SLP tries to directly serve every student who receives a Tier 2 language intervention).
Tier 1: Universal Support and Consultation
At Tier 1, the SLP supports the quality of core instruction for all students. This doesn't mean providing direct services to all students — it means consulting with teachers on language-rich instructional practices, supporting vocabulary instruction across content areas, providing professional development on language development and disorders, and participating in universal screening processes. The SLP is a resource for the whole school, not just identified students.
Tier 2: Targeted Intervention
Tier 2 is where SLPs increasingly provide small-group services to students who haven't responded adequately to Tier 1 instruction and need targeted support beyond what the general education teacher can provide. The SLP may lead Tier 2 language groups directly, co-lead with reading specialists or classroom teachers, or provide intensive consultation to support Tier 2 interventionists. Data collection at this tier tracks response to intervention and informs decisions about whether to continue Tier 2, intensify to Tier 3, or return to Tier 1.
Tier 3: Individualized Intensive Services
Tier 3 represents individualized, intensive intervention for students with significant needs. For most school SLPs, this includes students receiving special education services. MTSS data from Tiers 1 and 2 informs — but does not replace — the full individual evaluation required for special education eligibility determination.
What Data to Collect at Each Tier
Tier 1 Data
- Universal screening results (pass/fail rates by grade, classroom, and demographic subgroup)
- Screening flagging rates — are certain classrooms or grade levels flagging a disproportionate number of students? (If so, Tier 1 instruction quality may need attention)
- Teacher consultation logs (number of consultations provided, topics addressed, follow-up outcomes)
- Professional development participation and reported impact
Tier 2 Data
- Progress monitoring probe scores at 2-3 week intervals
- Attendance in Tier 2 intervention groups
- Fidelity of intervention implementation (are sessions being delivered as designed?)
- Rate of improvement (slope) compared to expected growth and comparison peers
- Response-to-intervention categorization: adequate responder, questionable responder, non-responder
Tier 3 Data
- Comprehensive evaluation results (standardized and non-standardized measures)
- IEP goal progress monitoring data (collected at each service session or weekly)
- Skill probes measuring functional communication outcomes, not just isolated skill accuracy
- Generalization data across settings, communicative partners, and materials
- Prior Tier 1 and 2 intervention history and response patterns
Universal Screening for Speech-Language
Universal screening is the systematic collection of brief data on all students to identify those who may need more support. For speech-language, screening typically occurs in kindergarten (and sometimes preschool and first grade) and may be repeated when concern is raised at any grade level.
Commonly used school-based speech-language screening tools include:
- QUIL (Quick Use of Language Inventory): Brief conversational language sample analysis
- PALS and PALS-K: Literacy-linked screening with oral language components
- CELF Screening: Standardized brief language screening at multiple age levels
- SALT (Systematic Analysis of Language Transcripts): Normed language sample analysis for more detailed screening
- Articulation screeners: Many districts use quick picture-naming tasks to flag students who may need articulation evaluation
Screening frequency varies by grade and district protocol, but a typical model involves universal kindergarten screening in the fall with follow-up screening in the spring for students who don't fully pass. At upper grades, screening is typically triggered by teacher referral rather than universal administration.
SLPDesk's built-in screener module streamlines the screening process — organizing student lists by grade, recording pass/refer decisions, and automatically generating referral lists for follow-up evaluation.
Progress Monitoring: Frequency and Methods
MTSS depends on frequent, sensitive progress monitoring data. The key principle: monitoring should be frequent enough to detect whether a student is responding to intervention before too much instructional time has been lost. General recommendations:
- Tier 2: Progress monitoring every 2-3 weeks. The goal is to identify non-responders within 6-8 weeks of intervention onset
- Tier 3: Progress monitoring every 1-2 weeks for students receiving intensive individualized services. More frequent data allows more responsive adjustments to intervention
For speech-language progress monitoring, useful probe types include:
- Curriculum-Based Language Measures (CBLMs): Brief, standardized tasks aligned to the intervention target (e.g., a 30-item vocabulary probe, a 5-minute narrative retelling)
- Story Grammar probes: Brief retelling tasks scored for inclusion of story grammar elements; sensitive to narrative language growth
- Vocabulary probes: Tier 2 and tier 3 word knowledge assessed through definition, use in sentence, and synonym tasks
- Dynamic assessment probes: Test-teach-retest formats that measure learning potential, particularly useful for students with language differences that may reflect language learning disability vs. language difference
SLPDesk's progress monitoring tools allow you to create custom skill probes for each student, track scores over time, and automatically generate visual data displays for MTSS team meetings.
Graphing Data for MTSS Teams
MTSS problem-solving teams make decisions based on data displays. A well-constructed graph communicates far more efficiently than a table of numbers. Key elements of an effective MTSS data graph:
- Aim line: The expected growth trajectory — where the student should be by the end of the intervention period if they're on track
- Trend line: A line of best fit through actual data points, showing the student's actual rate of improvement
- Phase change lines: Vertical lines marking when interventions changed, allowing visual comparison of response across conditions
- Decision rules: Many MTSS frameworks use data-based decision rules (e.g., "if 3 consecutive data points fall below the aim line, change the intervention")
Free tools like Google Sheets, Excel, or purpose-built MTSS platforms can generate these graphs automatically once you enter probe data.
Presenting SLP Data to Problem-Solving Teams
MTSS teams include general education teachers, administrators, school psychologists, and other specialists who may be unfamiliar with speech-language terminology and assessment methods. When presenting SLP data, prioritize:
- Functional impact language: "Marcus's narrative retelling accuracy is at the 12th percentile, which means he has difficulty organizing his thoughts well enough to communicate what happened in a story — this affects his ability to share news at morning meeting, summarize events in social situations, and write coherent narratives" is more actionable than citing a standard score alone
- Comparison to peers: Data that shows where a student falls relative to classmates or grade-level norms gives the team context
- Progress, not just status: Show the trajectory (rate of improvement) alongside current level — a student who is below grade level but improving rapidly may need less intensive support than one who is below grade level with a flat slope
- Clear recommendations: Don't leave teams guessing. "Based on this data, my recommendation is to continue current Tier 2 intervention for 6 additional weeks and monitor weekly" gives the team something to act on
CBM-Based Progress Monitoring for SLPs
Curriculum-Based Measurement (CBM) originated in reading and math but has been adapted for oral language assessment. Language CBM tools — such as maze tasks, oral reading fluency with language comprehension probes, and story retelling measures — provide the brief, repeated-measure format that MTSS requires. The advantage of CBM-aligned tools is that they're standardized well enough to produce reliable slopes (rates of improvement) that teams can compare across students and against expected growth rates.
ASHA's MTSS resources and published CBM research provide guidance on specific tools and their sensitivity for different language domains. As MTSS becomes the dominant framework for identifying and supporting students with communication needs, SLPs who are skilled data collectors — and skilled data communicators — become essential team members rather than peripheral specialists.
Data for Eligibility Decisions
MTSS data contributes important context to special education eligibility decisions but does not replace comprehensive evaluation. Under IDEA, eligibility for speech-language services as a primary disability requires documentation that the student has an impairment affecting educational performance — a determination that requires standardized assessment, not just progress monitoring data.
What MTSS data provides is critical context: documented evidence that the student received high-quality Tier 1 instruction, that concerns were identified through systematic screening, that targeted intervention was provided with fidelity, and that the student's response to that intervention was inadequate. This history strengthens the eligibility case and, importantly, informs the development of more targeted IEP goals and services.
The SLP's unique contribution to MTSS is the integration of speech-language expertise with systematic data collection — bringing clinical judgment to bear on data that matters, and making that data legible to the teams who make decisions.