methodatlas
RunsheetSystems Thinking

Behavior Over Time Graph

ComplexityLow
Time20-45 min
Participants1-10
FormatWorkshop + async
MaturityEstablished
01

Prerequisite

What needs to be finished first

Complete firstVariable and time windownot in catalog

A specific variable of interest, for example ticket count, customer satisfaction, or engagement, and a suitable time window of weeks, months, or years are named.

Without: Without a concrete variable, the diagram becomes arbitrary and the discussion about patterns stays vague.
Complete firstData basisnot in catalog

Either quantitative data or the structured recollection of several people is available so the curve can be drawn.

Without: Without data or shared memory, the curve becomes a single opinion and collective sensemaking falls away.
02

Preparation

What needs to be ready before start

Materials

Whiteboard or shared board with a coordinate system (X-axis time, Y-axis variable); marker pens; available data points as reference; sticky notes for events and assumptions.

People / roles

One facilitator who moderates curves and guides the discussion; 3-8 participants with different perspectives on the variable; one scribe who documents events and assumptions.

Pre-read

Communicate the variable and time window in advance; share known data points; note that curves are hypotheses about behavior, not claims of truth.

Time needed

45-90 min for one variable, separate iterations for multiple variables

Setup

Make the coordinate system clearly visible. Label the X-axis with time units suited to the variable. Label the Y-axis with variable and unit. Instruction: first draw an individual curve in silence on paper, then create a shared curve at the board. Mark events as stickies at the relevant time.

03

Core question

The one question this method answers

How did the chosen variable behave over time, which patterns such as growth, decline, oscillation, or stagnation appeared, and which systemic causes sit behind the pattern?

04

Flow

Marker: Minute

StepDurationActionHint
10-10 min
10 minClarify the variable and time window. The facilitator introduces the diagram logic and shows typical patterns such as linear, exponential, S-curve, oscillating, or crash. Label the Y-axis with the variable and unit, and the X-axis with the time window.If the variable is too abstract, for example 'culture', the curve becomes arbitrary. Operationalize it: what would be measured to make the culture visible? Agree on a measurable proxy.
210-20 min
10 minSolo curve: each person draws their interpretation of the variable over the time window on paper. Mark events that shaped the curve as notes.The solo phase prevents groupthink. Anyone who goes to the board right away starts to dominate the curve. Keep silence. For large groups, allow 2 extra minutes.
320-45 min
25 minShared curve: participants transfer their solo curves to the common diagram. If they diverge, discuss which data points and assumptions differ. Make either a consensus curve or multiple hypothesis curves visible.Divergence is not a problem, it is gold. If everyone draws the same curve, either diversity is missing or the data are too clear. If there is disagreement, leave both curves visible and decide with data or tests.
445-65 min
20 minMark events and causes: add stickies to turning points, jumps, and bends. Which events correlate, and which causal hypotheses exist? Multiple hypotheses per turning point are allowed.Correlation is not causality. Mark hypotheses explicitly as hypotheses. If only one explanation appears per turning point, there are probably blind spots.
565-90 min
25 minSystemic reading: which feedback loops or structures explain the pattern. Connect to Causal Loop or System Archetypes. Derive leverage points or hypotheses for the next steps.The method does not end with the diagram. Without a reading, BOTG remains a line drawing. Build the bridge to action: which hypothesis would we test to change the curve?
05

Artifact

What comes out at the end

Form

Diagram with a shared curve or several hypothesis curves, turning points with events and assumptions, a systemic reading, and derived hypotheses for the next steps. Optional data snapshot as an appendix.

Versioning / ownership

Date, variable, time window, and participants in the header. For follow-up workshops, attach the previous curve as a comparison and keep the curve progression visible across iterations.

Tool alternatives
  • Miro or Mural board with a diagram frame and stickies
  • Whiteboard with photo export
  • Notion page with embedded plot and description
  • Markdown file with an ASCII sketch or image in the repo

behavior-over-time-graph-working-template.md

Compact working template for Behavior Over Time Graph with context, input, output artifacts, and next step.

Behavior Over Time Graph Working Template

Goal

Visualizes how a relevant variable changes over time and which patterns may lie beneath it.

Context

When and for what do we use this method?

Input

Which data, observations, decisions, or materials are available?

Execution

Short notes along the runsheet.

Output artifacts

  • Behavior Over Time Graph:
  • Trend Hypotheses:
  • Key Events:

Assumptions and open questions

  • ...

Decision / Next step

Owner, date, and success signal.

06

Example output

Concrete filled scenario, fictional example

behavior-over-time-graph-beispiel.md

Concrete filled scenario, fictional example

BOTG — Variable 'Time to First Value for new users', time window 12 months, 22.05.2026

Participants: 5 people from Product, Data, CS.

Curve progression

  • June 2025: 9 min (baseline).
  • August 2025: jump to 14 min after the onboarding redesign.
  • November 2025: plateau at 12 min.
  • March 2026: drop to 7 min after Quickstart templates were introduced.
  • May 2026: rise again to 9 min, hypothesis: new user segments.

Turning points and hypotheses

  • August 2025: Onboarding redesign aimed at completeness and added two steps. Negative effect.
  • March 2026: Templates reduced cognitive load, faster value. Positive effect.
  • May 2026: New self-serve acquisition channels bring less prequalified users. Correlation with the marketing campaign.

Systemic reading

Feedback loop: onboarding completeness versus time to value. More completeness slows the first step, templates decouple that. Leverage point: segment-specific templates.

Next hypothesis

Special template for the 'Self-Serve Marketing' segment, test in 4 weeks, owner @lisa.

07

Pitfalls

Recognize symptoms and steer against them

Trap

Variable too abstract

Symptom

The curve for 'engagement' or 'culture' is arbitrary and cannot be tied to data.

What to do

Operationalize the variable with a concrete proxy metric and a unit. If no proxy is possible, BOTG is not the right tool and Mind Mapping or Rich Picture is a better fit.

Trap

First person dominates the curve

Symptom

One person goes straight to the board, draws, and everyone else adapts or stays silent.

What to do

Keep the solo phase strict. Draw on paper first, then transfer. Allow multiple hypothesis curves explicitly before searching for consensus.

Trap

Data and memory mixed

Symptom

The curve contains both measured points and felt impressions, while the difference is invisible.

What to do

Mark data points with another pen or marker on the curve. Show recollection-based parts as a dashed line. That keeps what is evidenced and what is hypothesis visible.

Trap

Method ends at the diagram

Symptom

The curve is drawn, the workshop ends, and there is no reading or action.

What to do

Make the systemic reading and hypothesis phase mandatory. Connect to Causal Loop or concrete leverage points. Without leverage, BOTG remains a description.

Trap

Causal conclusions from correlation

Symptom

Turning points are assigned to events without checking alternative explanations.

What to do

Name two or three explanations per turning point explicitly and mark all of them as hypotheses. Validate with data, interviews, or experiments after the workshop.

08

Stop criteria

Done signals checkable in under a minute

The variable cannot be operationalized, so the curve remains arbitrary.
The time window is too short, with fewer than 4 data points, so a pattern is not visible.
Participants do not know the variable from their own perspective, so the curve becomes guesswork on guesswork.
Data and recollections fundamentally contradict each other, and no independent source is available to clarify them.
The workshop time window is under 45 min, so the solo and reading phases do not fit.
The sponsor expects a predetermined curve or reading, and BOTG turns into justification rather than insight.

Finished the runsheet?

Go to the profile for purpose, similar methods, and sources or continue to the next method in the catalog.