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User Guide · 2026
Celerity
Data Studio
Precision that moves at the speed of people.

Kris Kielbasa, M.S. · Behavior Scientist
Celerity
Data Studio
User Guide
01

Overview

Celerity Data Studio is a web-based platform for recording, charting, and analysing behavioural data using the Standard Celeration Chart (SCC) methodology. Data is stored in real time via Firebase — everything you enter is saved automatically and accessible from any device.

Frequency
How often a behaviour occurs per unit time (per minute, per day, etc.).
Celeration
The rate at which frequency changes over time, expressed as a weekly multiply (×) or divide (÷).
Bounce
The variability around a celeration line, expressed as a total envelope multiplier.
SCC
A semi-logarithmic chart where equal ratio changes look equal in size, revealing acceleration, deceleration, or flatness at a glance.
02

Getting Started

The platform opens on the Home screen. The data hierarchy is structured as follows:

User
Workspace
Folder
Chart
Create your first chart
1
Click a user card on the Home screen, then open a workspace and folder.
2
Click + Chart inside the folder.
3
Give the chart a name, choose a chart type (Daily/min is the standard SCC), and fill in the optional Pinpoint field.
4
Click Create. The chart opens immediately.
Pinpoint A short, precise description of the behaviour being measured (e.g. "Reads words correctly per minute"). A good pinpoint names who does what under what conditions and how it is measured.
04

Chart Types

The platform supports ten chart types. Switch at any time from the toolbar — all data stays intact; the chart simply re-renders on the new scale.

TypeY-axisTypical use
Daily/minPer minuteStandard SCC — most PT work
DailyPer dayLow-frequency or count-per-day data
Weekly/minPer minuteZoom-out view of per-minute data
WeeklyPer weekZoom-out of daily count data
Monthly/minPer minuteLong-term per-minute trends
MonthlyPer monthLong-term count trends
YearlyPer yearMulti-year overview
Flex-6Per intervalCustom interval, 120 periods
Flex-5Per intervalCustom interval, 100 periods
TimingsPer trialTrial-by-trial timing / latency data
Tip Flex charts require setting an Interval Length and Interval Unit in the chart Settings panel.
05

Entering Data

Tap Entry
  • Set the date (defaults to today). Press a tap button once per occurrence.
  • A timer starts on your first tap and stops when you click Stop. Elapsed time becomes the observation duration.
  • Click Save to store the record.
Manual Entry
  • Switch to the Manual tab. Enter date, count(s), and observation duration.
  • Click + Row to add a second session for the same day.
  • Click Save All when done.
Import / Edit Tab
  • Data table — a scrollable, inline-editable log of all records. A break marker can be toggled on any row.
  • Paste data — paste CSV text directly. Format: date, count, obs_min per row.
  • Choose file (.csv, .xlsx) — load a CSV or Excel file directly.
  • Import / Export Data — import the paste-field content or download data as CSV.
Paths

Each chart tracks up to six behaviours (paths), each with its own name, colour, and symbol. Paths with no data are hidden automatically.

Aggregation Modes

Sum adds all counts and observation time; First / Middle / Last pick one session by position; Highest / Lowest pick by frequency.

06

Trend Lines

A trend line is a straight line fitted to data on the log-scale chart, showing the rate of change (celeration) over a selected period. Trend lines are managed in Analysis → Trends.

How to draw a trend line
1
Click Analysis in the toolbar, then open the Trends tab.
2
Click + Add Trend Line. Choose the data path and set a start and end date.
3
Optionally set a Projection Date — the line extends as a dashed line to this date.
4
Toggle Show chart stats to display the stat box; toggle Show bounce envelope to draw the variability band.
5
Click Save.
Auto-Detected Trend Lines

Celerity automatically detects trend lines from 7 or more consecutive data points moving consistently in the same direction. These appear in the Auto-detected section of the Trends tab. They cannot be deleted but their chart visibility can be toggled with the eye icon.

Note Auto-detected trend lines feed into the Analysis tabs (Change Across Trends, Summary Table) regardless of their on-chart visibility setting.
Reading the Stat Box
  • Trend — the fitted celeration value. ×1.25/wk means frequency multiplies by 1.25 each week. Acceleration paths show ×, deceleration paths show ÷. A significance label (e.g. Acceptable growth, Robust growth) appears for acceleration paths.
  • Bounce — total width of the bounce envelope (see section 7).
  • Med — median frequency of data points within the trend range.
Acceleration Significance Labels
RateLabel
×1.00–×1.24Unacceptable growth
×1.25–×1.39Acceptable growth
×1.40–×1.79Robust growth
×1.80–×1.99Exceptional growth
×2.00–×2.99Massive growth
×3.00+Super-massive growth
Alternative

Equally Weighted

Ordinary Least Squares. Sensitive to extreme values. Use only when data is clean and a traditional statistical baseline is specifically required.

Multiple lines Add as many trend lines as needed — one per intervention phase is typical. Each line's stat box can be dragged to any position on the chart while unlocked. The eye icon on the Trends tab controls on-chart visibility only — it does not affect the Analysis or Summary Table tabs.
07

Bounce Envelopes

The bounce envelope shows the typical variability around a trend line — two parallel lines placed symmetrically above and below the fitted line on the log scale. The envelope width is fixed at ±2 standard deviations of log-residuals, the SCC standard.

How it is calculated
  • Log-residuals are computed for each data point: actual log₁₀(freq) minus predicted log₁₀(freq).
  • The standard deviation of those residuals is computed.
  • The envelope edge is placed at ±2 SD from the trend line on the log scale.
  • At ±2 SD, approximately 95% of data from a normal distribution falls inside the envelope.
Outlier Probability

Points outside the envelope are considered statistical outliers. The further outside the envelope a point falls, the rarer it is. Distances are expressed in course widths (CW) — the full envelope width from edge to edge.

Distance beyond envelope edgeApproximate probability
0.5 CW (4 SD from line)1 in 1,000
1.0 CW (6 SD from line)1 in 1,000,000
1.5 CW (8 SD from line)1 in 1,000,000,000
2.0 CW (10 SD from line)1 in 1,000,000,000,000
Bounce Smoothness Labels

The bounce value (×N) displayed in the stat box and hover tooltip is accompanied by a smoothness rating:

BounceRating
×1.00–×3.00Smooth and consistent
×3.01–×6.00Bumpy and moderately variable
×6.01–×9.99Choppy and inconsistent
×10.00+Exceptionally erratic
Tip If the lower bounce line disappears at the chart bottom, it has hit the chart floor — the maths is still correct. When a projection date is set, the bounce envelope continues as a dashed band beyond the last data point.
08

Aims & Aim Bands

Aim Stars
  • Click Setup → Aims tab, or click the standalone Aims modal button. Choose a path, direction (Acceleration or Deceleration), target frequency, and target date. Click + Add Aim Star.
  • Enable Min trend line to draw a dashed minimum-slope line from the start date to the aim star — showing the minimum rate of change needed to reach the target.
  • Drag the star to reposition it when the chart is unlocked.
  • Aim Stars also power Learning Picture detection — the Aim picture requires aim stars to be set and performance to be at or near the aim level.
Aim Bands

A shaded horizontal strip between an upper and lower frequency — useful for showing a performance criterion range. Set Upper, Lower, optional start/end dates, and a colour. Click the eye icon to show/hide on the chart. Manage bands from Setup → Aims or the Aims modal.

09

Phase Lines

Phase lines mark when something changed — a new intervention, materials change, return from a break, etc. They drive the auto-generated comparisons in Analysis → Change Across Trends.

  • Click Phases in the toolbar. Enter a label, date, style (solid or dashed), and colour. Click + Add.
  • The label can be dragged on the chart when unlocked.
  • Edit or delete phase lines from the list at the top of the panel.
  • Auto-detected phase boundaries from trend line transitions also appear — their visibility mirrors the show/hide state of the source trend lines in Analysis → Trends.
10

Notes

Notes are free-text boxes placed directly on the chart surface — useful for documenting interventions, absences, or observations.

  • Click Notes in the toolbar to open the Notes editor.
  • Enter the note text, choose a text colour, background (white or transparent), and orientation (horizontal or vertical).
  • Click + Add Note to place it on the chart. Drag it to any position while unlocked.
  • The eye icon on each note toggles its chart visibility. Edit (✎) and delete (✕) are available from the notes list.
Ownership Practitioners can edit and delete any note. Stakeholders can only edit or delete notes they created — they cannot modify notes added by the practitioner.
11

Analysis Modal

The Analysis modal is the hub for all statistical analysis. Open it with the Analysis toolbar button. It has four tabs, each independently controlled.

Trends Tab
  • Add manual trend lines, view auto-detected trend lines, and manage Improvement Index (I.I.) pairings.
  • The eye icon on each trend line controls on-chart visibility only — it does not affect whether the line feeds into the other tabs.
  • + Add I.I. Pairing — pairs one acceleration path and one deceleration path to compute an overall accuracy index. The I.I. stat box appears on the chart.
Change Across Trends Tab

Compares consecutive trend line periods, showing how rate of change, frequency level, and variability shifted between phases. Each comparison generates a stat box on the chart.

  • Celeration turn — did the rate of change speed up or slow down?
  • Frequency jump — did the level shift up or down at the phase boundary?
  • Level change — the ratio of median frequencies between phases.
  • Bounce change — did variability increase or decrease?
  • I.I. Change (I.I.C.) — how did overall accuracy shift between phases?

Eye icons control on-chart visibility of each comparison's stat box only — they do not affect the Summary Table.

Patterns Tab

Detects 7-point runs — seven or more consecutive data points all moving in the same direction. These are statistically significant trends that may indicate a real change in performance. Runs are listed by path with date range and direction.

Summary Table Tab

A structured table of all stats across all trend line periods — trend values, bounce, median frequency, I.I., phase comparisons, and more.

  • Use the eye icons to show/hide individual periods on the on-chart overlay.
  • Export as SVG (best for print), PNG (screen image), or CSV (spreadsheet data).
Improvement Index (I.I.) Significance Labels
I.I. ValueLabel
Any ÷ valueWorsening — accuracy declining
×1.01–×1.20Very slight improvement
×1.21–×1.30Small improvement
×1.31–×1.50Adequate improvement
×1.51–×2.00Substantial improvement
×2.01–×3.00Exceptional improvement
×3.01+Extraordinary improvement
12

Hover Tooltips

Hovering over the chart reveals live statistics. Two tooltip types are available on desktop (not mobile).

Data Point Tooltip

Shown when the cursor is within ~12 SVG pixels of a data point. Displays:

  • Path name (in the path colour)
  • Date, count, and time observed
  • For outliers: distance beyond the bounce envelope in course widths, and the associated probability
Trend Line / Envelope Tooltip

Shown when the cursor is within the bounce envelope band. Displays:

  • Path name (in the path colour)
  • Trend value with Acceleration or Deceleration label, and significance label (acceleration paths only)
  • Bounce value and smoothness rating

Data point tooltips take priority when the cursor is near a point.

13

Decision Support

The Decision Support panel automatically analyses your chart data and surfaces performance flags. Open it with the Decision toolbar button.

Advance Flags
  • The aim has been met in 2 of the last 3 sessions — consider moving to the next step.
Review Flags
  • Performance has decreased in each of the last 4 or more sessions in a row
  • Performance has increased in each of the last 4 or more sessions in a row (for deceleration paths)
  • Performance has stayed flat across 4 or more consecutive sessions
  • Acceleration rate below minimum (×1.25) — current rate shown
  • Deceleration rate below minimum (÷1.25) — current rate shown
  • Performance has fallen below the trend line in each of the last 3 sessions
Coverage The Decision Support panel analyses every visible data path — not only paths with aim stars.
14

Learning Pictures

Learning Pictures are named performance patterns detected automatically when paired paths are present — one acceleration path and one deceleration path linked together in Setup → Data Paths. Detection uses the last two trend line periods of data and fitted trend lines (not individual data points).

Setting Up Paired Paths
1
Go to Setup → Data Paths.
2
Set the role of each path — Acceleration (corrects) and Deceleration (errors).
3
Click the chain icon on the acceleration path row to link it to the adjacent deceleration path.
4
Save Data Paths. Learning Picture detection now runs automatically when the Decision panel is open.
The 13 Learning Pictures
PictureCategoryWhat it means
CrossoverImprovingCorrects accelerating past errors — trend lines are intersecting
JawsImprovingBoth paths moving toward aim and diverging — not yet intersecting
Take-offImprovingCorrects accelerating while errors hold flat
ClimbImprovingCorrects accelerating while errors are eliminated (at floor)
UphillImprovingBoth accelerating with corrects dominating — increasing % correct
DiveImprovingCorrects hold steady while errors reduce
AimMaintainingBoth paths flat and at aim level — performance maintained at goal
Get Truckin'MaintainingBoth flat and consistent but below target
Rock BottomMaintainingBoth paths stalled at floor frequency
SnowplowWorseningBoth moving wrong direction and lines converging
LandingWorseningCorrects declining while errors remain neutral
SurfaceWorseningErrors growing while corrects stay flat
DownhillWorseningBoth decelerating with errors dominating — decreasing % correct
Chart Highlights

When a Learning Picture is detected and the Decision Support panel is open, thick solid trend line highlights draw on the chart for each paired path — covering the most recent trend period plus one period forward. Use the eye icon next to each picture name to show or hide its highlight.

15

Decision Guide

The Decision Guide walks practitioners through a step-by-step decision tree for either Skill Acquisition or Generalization. Access it from the Decision Support panel by clicking Open Decision Guide.

Starting a New Guide
1
In the Decision Guide modal, click + New guide under Skill Acquisition or Generalization.
2
The guide opens in the Decision Support panel. The current question is shown along with the full Q&A path so far.
3
Celerity auto-detects answers from your chart data using the last two trend line periods. Auto-suggested answers are shown in bold with an (auto-detected) label. Override any answer by clicking Yes or No directly.
4
At the end of the tree a recommendation is shown. The completed guide is saved to the chart with the date, chart type, and full Q&A path.
Viewing Past Guides

Completed guides are listed in the Decision Guide modal under their tree (Skill Acquisition or Generalization), sorted newest first. Each row shows the date, recommendation, and chart type. Click View to review the full Q&A path in read-only mode.

Section counts The number of saved guides for each tree is shown in parentheses next to the section heading — e.g. Skill Acquisition (3).
16

Stakeholder Mode

Stakeholders are users granted read-access to specific charts. When logged in as a stakeholder, the interface is simplified to show only what is relevant for reviewing progress.

What Stakeholders Can Do
  • View the chart and all its data
  • Open the Notes modal — add notes, edit and delete their own notes
  • Open the Decision Support panel and view Learning Pictures
  • Change the chart scale (current type) and timespan for their own viewing session
  • Download the chart as SVG or PNG
What Stakeholders Cannot Do
  • Enter, edit, or delete data points
  • Add or edit trend lines, aims, or phases
  • Open Setup or Analysis
  • Edit or delete notes created by the practitioner
  • Toggle the chart lock state
Note ownership A note stamped with a stakeholder's account will show edit and delete buttons only to that stakeholder. Practitioners always see edit and delete controls for all notes.
17

Chart Display Options

  • Chart scale — switch chart type and start date from Row 2 of the toolbar.
  • Trendline fit — Outlier Resistant or Equally Weighted, from Row 2.
  • Aggregation — how same-session records are combined, from Row 2.
  • Gridlines — All / Major / None, set per-chart in Setup → Chart Defaults.
  • Dark/Light mode — toggle from the Account panel.
Downloading Charts
  • Download SVG — scalable vector format, best for print and reports.
  • Download PNG — raster image, best for embedding in slides or documents.
18

Landing Page & Navigation

The landing page is the entry point to Celerity Data Studio. It includes three tabs — Platform, About, and Contact — accessible before and after signing in.

Platform Tab

Shows the sign-in form when logged out. Once signed in, the form panel is hidden and the full brand panel is displayed with an Enter Data Studio button. Click it — or click the Celerity logo — to return to the app.

About Tab

Describes Celerity Data Studio's mission and the six core brand values: Precise with care, Bold with empathy, Science at a human scale, Person-centered, Humble curiosity, and Radical inclusion.

Contact Tab

Displays contact information including email and website. Click the email address to open your mail client.

Logo Navigation
  • Clicking the Celerity logo on the About or Contact tab returns to the Platform tab.
  • Clicking the Celerity logo in the app's home screen hero returns to the landing page.
  • Clicking the logo in the top bar of the app returns to the landing page.
Mobile

The platform is fully responsive. In portrait orientation the landing page displays the brand panel full-screen. When logged in on mobile the login form is hidden and the brand panel fills the screen. In landscape orientation the chart area and toolbar are accessible with a compact hero panel.

19

Calculation Methods

This section documents the exact statistical methods Celerity Data Studio uses to compute celeration, bounce, median, and data aggregation. All calculations operate on log₁₀-transformed frequency values, consistent with the ratio-scale nature of the Standard Celeration Chart.

Aggregation

Pre-processing

All statistics are computed on aggregated data — raw records are first bucketed into time slots matching the chart type. This ensures that stats reflect exactly what is displayed on the chart.

01
Raw data points are assigned to time buckets based on chart type:
// Daily / timings
bucket = round((pointMs − t₀) / 86,400,000)

// Weekly — point snapped to Sunday first
bucket = round((sundayMs − t₀) / (7 × 86,400,000))

// Monthly
bucket = (year − startYear) × 12 + (month − startMonth)

// Yearly
bucket = year − startYear

// Flex (custom interval)
bucket = round((pointMs − t₀) / intervalMs)
02
Within each bucket, counts are summed across all records; observation time is summed.
03
Frequency per bucket is computed as:
// Rate charts (Daily/min, Weekly/min, Timings, Flex)
freq = count / obs

// Count charts (Daily, Weekly, Monthly, Yearly, Flex-5/6)
freq = count
04
Zero counts with valid observation time are floored to 0.5 (or 0.5 / obs for rate charts) — the standard PT convention for near-zero values on a log scale.
05
Buckets with no valid observation time are excluded entirely from all calculations.

Median Frequency

Descriptive

The median is computed on the aggregated frequency values for each path within the selected celeration range.

freqs = [f₁, f₂, … fₙ] // sorted ascending
median = freqs[n/2] // middle value if odd count
median = (freqs[n/2 − 1] + freqs[n/2]) / 2 // mean of two middle if even

Median is reported in the chart's native frequency units (e.g. /min, /wk).

Theil-Sen Celeration

Recommended

Theil-Sen is a robust, non-parametric line-fitting method. It is highly resistant to outliers — a single unusual data point cannot disproportionately pull the celeration estimate. It is the recommended method for all PT and SCC work.

01
Each aggregated frequency is log₁₀-transformed:
logY = log₁₀(max(freq, 0.0001))
02
Every unique pairwise slope between points is calculated in real time (milliseconds):
slope_ij = (logY_j − logY_i) / (ms_j − ms_i)   for all i < j where ms_j > ms_i
03
Slopes are sorted. The median slope is taken:
slopes.sort()
slopeMs = median(slopes)   // middle value if odd; mean of two middle if even
04
The intercept for each point is computed and the median intercept is taken:
intercepts = [logY_i − slopeMs × ms_i] for each point
intercept = median(intercepts)
05
The slope (log₁₀ / ms) is converted to a per-celeration-period multiplier using the canonical period for the chart type (e.g. 7 days for weekly charts):
celeration = 10^(|slopeMs × celPeriodMs|)
Expressed as ×N/period (acceleration) or ÷N/period (deceleration).
Note Using real milliseconds as the x-axis ensures celeration is computed consistently across all chart types, regardless of whether the period is a day, week, month, or custom interval.

Least Squares Celeration

Alternative

Least Squares fits the line by minimising the sum of squared residuals. It is sensitive to outliers — a single extreme data point can significantly shift the estimate.

01
The same log₁₀-transformed, millisecond-time aggregated series is used as for Theil-Sen.
02
Standard ordinary least squares (OLS) linear regression is run on log₁₀(freq) vs ms:
slopeMs = Σ[(ms_i − ms̄)(logY_i − logȲ)] / Σ[(ms_i − ms̄)²]
intercept = logȲ − slopeMs × ms̄
03
The slope is converted to a per-period celeration multiplier identically to Theil-Sen:
celeration = 10^(|slopeMs × celPeriodMs|)
Caution Use Least Squares only when your data is clean and free of atypical sessions. For most PT work, Theil-Sen provides a more representative picture of genuine learning trends.

Bounce (Envelope)

Variability

Bounce quantifies the typical spread of data around the trend line. The envelope is placed at ±2 standard deviations of log-residuals — the SCC standard. The bounce value reported in the stat box is the total envelope width as a multiplicative factor.

01
The fitted trend line (slope and intercept in xMs space) is used to compute the predicted log frequency for each data point:
predicted_logY_i = slope × ms_i + intercept
02
Log-residuals are computed for each non-zero data point:
residual_i = logY_i − predicted_logY_i
03
The standard deviation of residuals is computed:
variance = Σ(residual_i − mean_residual)² / n
SD = √variance
04
The bounce envelope offset is 2 SD, and the total bounce value (full width) is:
bounceOffset = SD × 2  // half-width in log units
bounceVal = 10^(2 × bounceOffset)  // total width as ×N multiplier
The upper envelope line is plotted at freq × 10^bounceOffset and the lower at freq / 10^bounceOffset.
Outlier probability Points outside the ±2 SD envelope are statistical outliers. The hover tooltip shows the distance beyond the envelope in course widths (CW) — 1 CW = the full envelope width — along with the associated probability (1 in 1,000 at 0.5 CW; 1 in 1,000,000 at 1.0 CW; etc.).
Canonical Celeration Periods by Chart Type
Chart TypeCeleration PeriodLabel
Daily/min, Daily7 days/wk
Weekly/min, Weekly4 weeks/4wk
Monthly/min, Monthly1 month (calendar)/mo
Yearly1 year (calendar)/yr
Flex-5, Flex-6N × interval unit/interval
20

Best Practices

Precision Teaching
  • Measure daily. The SCC is designed for daily data. Gaps reduce the reliability of celeration estimates.
  • Keep observations consistent. Use the same duration each day when possible.
  • Use fair pairs. Track both the target behaviour and an incompatible alternative.
  • Use clear pinpoints. "Reads words correctly" is better than "engages with text".
  • Start a new cel line at each phase change.
  • If frequency is not moving, change something. A flat celeration after 3–5 data points is a signal to adjust.
Standard Celeration Chart
  • Use Daily/min as your primary chart. The traditional SCC runs Mon–Sun for 20 weeks.
  • Celeration targets: ×1.25 to ×2.0/wk is common for skill-building. Above ×2.0/wk is a steep learning rate.
  • Bounce benchmarks: Below ×2 is tight. ×2–4 is typical. Above ×6 suggests the programme needs attention.
  • Prefer Theil-Sen. PT data frequently includes atypical days.
  • Read the chart first before checking the stats box.
  • Export as SVG for reports.
Quick Decision Reference
SituationAction
Trend right direction at target rate (×1.25+)Continue — consider Decision Guide to confirm
Trend right direction but too slowIncrease intensity or try a better technique
Trend flat (×1.00–×1.11)Change something — materials, prompting, timing, or reinforcement
Trend wrong directionStop and analyse before continuing — run the Decision Guide
Bounce wideningLook for environmental variability (inconsistent sessions, distractions, illness)
Aim met 2 of last 3 sessionsDecision Support panel shows Advance flag — move to next step
Review flag in Decision SupportOpen Decision Guide for a structured recommendation
Decision Support & Learning Pictures
  • Open the Decision panel regularly. It checks all paths for advance and review criteria automatically.
  • Pair your paths. Link acceleration and deceleration paths in Setup → Data Paths to enable Learning Picture detection.
  • Name the picture. Identifying the current Learning Picture (Crossover, Jaws, Dive, etc.) helps communicate progress to teams and families.
  • Use the Decision Guide. When a review flag appears, run the guided decision tree — it uses your chart data to auto-suggest answers and produces a saved recommendation.
21

Help AI

The Help AI is an in-app assistant accessible from the 💬 Help button in the top bar. It can answer questions about Celerity Data Studio features, explain Standard Celeration Chart concepts, and guide you through interpreting your stat box values.

Opening the Help Panel
  • Click 💬 Help in the top bar. A panel opens in the bottom-right corner of the screen.
  • The panel shows suggestion chips — topic categories to help you get started quickly.
  • You can also type any question directly in the input field and press Enter or click Send.
  • Close the panel with the ✕ button. The conversation is preserved while the chart is open.
Suggestion Chips

When the panel first opens, five category chips are shown. Tap a category to see specific question options:

  • 📈 Reading my numbers — interpret your stat box values, understand significance labels, read the stat box
  • 🔧 Setting up — add data, add trend lines, set aims, add phase lines, set up paired paths
  • 🔍 Analysis tools — Change Across Trends, Patterns, Summary Table, Improvement Index
  • 🧭 Decision tools — Decision flags, Learning Pictures, Decision Guide
  • 📖 Concepts — celeration, bounce, the Standard Celeration Chart, fair pairs, Precision Teaching

Each category shows a ← Back chip to return to the top level. Chips disappear once you send any message. Click ↺ Clear to reset the conversation and restore the chips.

Interpreting Your Stat Box Values

The Help AI does not read your chart values automatically — you share them, and it interprets them. To get an interpretation:

1
Look at the stat box on your chart. Note the Trend value (e.g. ×1.40/wk), Bounce (e.g. ×2.8), and Med (e.g. 1.41/yr).
2
Open the Help AI and ask: "My trend is ×1.40/wk, bounce ×2.8, median 1.41/yr — what does that mean?"
3
The AI will describe each value in plain language using the chart type, significance labels, and smoothness ratings.
What the Help AI Knows About Your Chart

Even without reading stat values, the Help AI receives context when a chart is open:

  • Chart type — used to convert celeration periods into real time (e.g. each period = 1 week on a Daily chart)
  • Data path names and roles — used to tailor language to your domain
  • Pinpoint — the behaviour description from Setup
  • Data domain — set in Setup → Data Paths; enables domain-adaptive language for Learning Pictures and interpretation
  • Detected Learning Picture — when the Decision panel is open, the AI knows which pattern was detected
Session Limits
  • Each Help AI conversation is limited to 10 exchanges — shown as a counter in the panel header (e.g. 3/10 exchanges).
  • When the limit is reached, click ↺ Clear to start a fresh conversation.
Note The Help AI is intended to help you understand and use Celerity Data Studio — not to make clinical or instructional decisions. Always use your professional judgement when interpreting data.