Panorama Solara enables districts to configure thresholds and flag students approaching or exceeding risk indicators. The platform uses multiple data points such as attendance patterns, course performance, behavior incidents, and surveys and generates AI-supported intervention suggestions for educators.

Innovare’s AI feature factors in attendance and momentum, a measure factoring in several important vectors, to ensure educators know exactly why a student is flagged early in the year.

School leaders receive an alert if a student shares a reflection indicating they may need immediate support. This real-time feature identifies students who are struggling who might otherwise fall through the cracks.

So What

Combining academic, behavioral, attendance, and well-being data into one system can help districts identify student risk earlier and create a more holistic understanding of student needs.

Context Setting

Before implementing Panorama Student Success, Colorado Springs School District 11 (D11) relied heavily on academic indicators to identify students who need support. This made it difficult for student success teams to consistently identify students experiencing challenges related to engagement, well-being, or school connectedness before academic performance declined significantly.

Innovation/Partnership

To improve early identification practices, D11 partnered with Panorama to integrate attendance, behavior, course performance, and student well-being survey data into one centralized platform. The district configured Panorama Student Success dashboards and student profiles to surface key risk indicators and allow teams to identify students crossing thresholds earlier. This created a more complete and proactive approach to student risk identification.

Impact

By combining multiple student indicators into one system, D11 improved teams’ ability to identify student needs earlier and coordinate support before challenges escalated. This approach helped student success teams move beyond reactive intervention and toward more proactive student support planning.

Strategy Fit

Consider this strategy if your district has:

• Heavy reliance on academic data alone to identify student risk
• Difficulty identifying students struggling with engagement or well-being
• Student support processes that occur after students have already fallen behind
• Limited visibility into holistic student needs
• Disconnected student success systems across teams or departments

Roadmap

• Identify which student indicators should inform student risk identification
• Integrate attendance, academic, behavior, and well-being data where possible
• Configure dashboards or alerts to surface students crossing thresholds
• Create shared workflows for reviewing student risk indicators
• Train teams on how to interpret and act on holistic student data
• Establish recurring student success review processes

Learn more in the District-Led Innovation Showcase report.

So What

Using structured early warning indicators can help districts identify student risk earlier and create more consistent intervention planning processes.

Context Setting

Before strengthening its early warning processes, Lowell Public Schools faced challenges identifying students who were beginning to fall behind before challenges became more severe. Student success teams often reviewed attendance, grades, and credits separately, making it difficult to consistently recognize emerging risk patterns across students.

Innovation/Partnership

To improve early identification, Lowell aligned student success workflows around a structured early warning system that prioritized attendance, course performance, and credit accumulation indicators. Teams regularly reviewed these indicators together to identify students crossing risk thresholds and prioritize intervention planning earlier in the school year.

Impact

By aligning student risk identification around consistent early warning indicators, Lowell improved teams’ ability to identify students needing support before challenges escalated significantly. This strengthened proactive intervention planning and improved coordination across student success teams.

Strategy Fit

Consider this strategy if your district has:

• Difficulty identifying students before they become significantly off track
• Student risk indicators reviewed in disconnected ways
• Inconsistent intervention planning processes
• Limited visibility into emerging student risk patterns
• Reactive support systems that occur too late

Roadmap

• Identify key student indicators connected to risk
• Establish thresholds for identifying students needing support
• Create recurring workflows for reviewing early warning indicators
• Configure dashboards or reports to prioritize student risk visibility
• Train teams on interpreting early warning data
• Continuously refine thresholds and review processes

Explore this district’s approach in the District-Led Innovation Showcase report.

So What

Simple and consistent tracking systems can help districts identify student risk early without requiring highly sophisticated technical infrastructure.

Context Setting

Demopolis High School needed a sustainable process for identifying students who may require support during the school year. Like many smaller districts, the school had limited technical infrastructure and needed an approach that educators could consistently maintain and use collaboratively.

Innovation/Partnership

To improve student risk identification, Demopolis implemented a predictive indicator tracking system focused on attendance, behavior, and course performance indicators. Using a structured Google Sheets-based process, educators and student success teams regularly reviewed student data to identify students crossing risk thresholds and to coordinate support planning earlier.

Impact

The predictive indicator tracking process helped teams identify student risk more consistently and earlier in the school year. By simplifying access to key indicators, educators were able to coordinate support more proactively and reduce the likelihood of students quietly falling behind.

Strategy Fit

Consider this strategy if your district has:

• Limited technical infrastructure or staffing capacity
• Difficulty maintaining consistent student risk identification processes
• Heavy reliance on manual student tracking
• Inconsistent student support coordination
• Challenges identifying students before problems escalate

Roadmap

• Select a small group of high-impact student indicators
• Create a shared student tracking structure
• Establish recurring student review meetings
• Define thresholds for student risk identification
• Train teams on consistent use of the tracking process
• Refine workflows based on team feedback and student outcomes

Explore this district’s strategy in the District-Led Innovation Showcase report.