Looking at one assessment, or watching a class change over time? Pick the mode that matches — you can switch later.
📝
Reporting Period Analysis
Analyze one or more assessments from a single unit or reporting period. Combine multiple class sections into one snapshot.
Select →
🌱
Growth Analysis
Track student progress across multiple labeled assessments over time — see who's growing, who's stalled, and which standards are improving.
Select →
Loads a fake 3rd-grade math class instantly so you can explore every tab before uploading anything real.
Analysis tools
14+
Setup required
None
Data storage
Private
Insight engine
AI-powered
Why Ledger
Built to do more than report scores
Every one of these lives inside whichever mode you pick — no upgrades, no extra tabs to hunt for.
🤖
AI Insights
A plain-language read on your class from Claude — not just what's weak, but why, and what to try next.
❓
Item & distractor analysis
See exactly which question — and which wrong answer choice — is tripping students up, down to the item, not just the standard.
🔗
Standards that fail together
Co-occurrence detection flags standards that tend to break down together, so reteaching targets the root cause.
🕶️
Presenter mode
Redact real names instantly — safe to project in a PLC meeting or on a shared classroom screen.
📚
Class roster manager
Save, name, and reopen unlimited classes — each remembers its own data, thresholds, and AI insights.
🔄
"What changed" diff view
Re-upload corrected or updated data and see exactly which students and standards moved since last time.
…plus rubric scoring, subgroup equity gaps, seating charts, goal tracking, growth timelines, and more once you're in.
Step two
Bring in your gradebook
Upload one or more spreadsheets of student scores by standard. Not sure how to format it? Start from the template below.
Fill it in, delete the sample rows, then upload it below.
Name this class Helps you tell classes apart later, and lets AI Insights tailor its language to the right grade and subject.
Track additional subgroups (optional) List any other Y/N columns from your spreadsheet you want compared in the Subgroups tab — beyond EB/SPED. Match the exact column names, comma-separated. Set this before uploading (or re-upload after changing it).
📄
Drag files here or choose from your computer Accepts .xlsx, .xls, .csv — add several to combine assessments
What Ledger looks for in your columns:
A Student ID and Student Name column (or the first two columns, if unlabeled). Every other numeric column — e.g. 3.2A, Reading.Main Idea, Standard 4 — is treated as one standard's score (0–100). Optional columns named Period, EB, or SPED unlock extra filtering. An Overall column will be used as the composite score; otherwise Ledger averages the standard columns for you.
For item-level analysis: add columns named Q1, Q2, Item 1, etc. — optionally tagged with a standard like Q1 (3.2A). Values can be the answer choice selected (A, B, C…), a 0/1 correct flag, or a partial-credit rubric score (e.g. 0–4). For rubric items, add the max points to the header — Q5 (4pts) or Q5/4 — so Ledger scales it correctly; otherwise it's inferred from the highest score seen. Add a DOK level the same way, comma-separated from the standard — Q3 (3.5C, DOK2) — to unlock the DOK-by-standard breakdown. To unlock distractor analysis on answer-choice items, add one row with KEY in the Student ID or Name column containing the correct answer for each question.
Step two
Build your timeline
Add each assessment in order and give it a label — "Unit 1," "Pre-Test," "EOC Mock 1." Upload one or more spreadsheets per assessment to combine class sections.
Use the same format for every assessment in your timeline.
Name this class Helps you tell classes apart later, and lets AI Insights tailor its language to the right grade and subject.
Add at least two assessments with data to continue.
What Ledger looks for in your columns:
Same as reporting period mode — a Student ID/Student Name column and numeric standard columns. Ledger matches students by ID across assessments to compute growth.
🎯 Goal progress
Percent of students Meets or above, against your target.
Performance distribution
How the class breaks down across performance bands.
🔴 Weakest standards
Below the weak-standard threshold — candidates for reteach.
🟢 Strongest standards
At or above the strong-standard threshold.
🤖 AI Insights
A plain-language read on this class's data — patterns, priorities, and concrete next steps — generated by AI for your success.
Every standard, ranked
Class average per standard, weakest first.
Mastery grid
Every student against every standard. Scan for columns of red — that's your reteach target.
Intervention report
Students at Approaches or Does Not Meet, grouped by the standards they're weakest in — ready for small-group planning.
Suggested small groups
Each student assigned to one group — based on their single weakest standard — capped at the max group size set above.
Seating chart generator
Auto-arranged and color-coded by performance band. Drag any two seats to swap them to match your room.
Period / section comparison
Class average, proficiency rate, and weakest standards side-by-side by period.
Export grades (CSV)
Student ID and overall score, ready for gradebook import.
Print scorecards
One printable card per student with their full standards breakdown.
📦 PLC / data-team packet
One combined report — class snapshot, weak/strong standards, item trouble spots, co-occurring standards, intervention groups, period comparison, subgroup gaps, and goal progress — formatted to print or save as a PDF.
Class average over time
Overall score, averaged across all tracked students, at each assessment.
Growth distribution
How many students fall into each growth category.
Standard progress over time
Pick a standard to see the class trend and which students still need it.
Export growth summary (CSV)
Student ID, first score, last score, and growth for every tracked student.
