methodatlas

Systems Thinking Mapping tool

Future Reality Tree

Tests a planned change against desired effects and exposes side effects, assumptions, and weak points.

Klare Verbesserungen werden als Ausgangspunkt für Wirkungsketten in die Zukunft genutzt. Zwischenzustände, mögliche Nebenwirkungen und notwendige Verstärkungen ergänzen den Pfad, bis er als überprüfbare Logik von Intervention zu Ergebnis lesbar ist.

Core question
Will the proposed injection causally produce desired effects, and which negative branches need protection before implementation?
Participants
3-8
Time
120–240 minutes plus domain review.

The steps form one complete method run.

Paper illustration for Future Reality Tree.
  1. Outcomes

    Desired effects

    Translate UDEs into concrete Desired Effects with observable success.

  2. Injection

    Starting injection

    Enter injection as a mechanism with validity boundary.

  3. Logic

    Causal tree

    Build intermediate effects from injection to DEs with required conditions.

  4. Side effects

    Negative branches

    Develop negative branches from affected perspectives and assess probability/severity.

  5. Protect

    Reviewed FRT

    Add injections and recheck the complete tree for sufficiency and conflicts.

Add new evidence at review and version decisions with the prior state.

A good fit when

Ein Future Reality Tree zeigt, wie gewünschte Maßnahmen zu einem besseren Systemzustand führen sollen. Die Methode prüft, ob ein Veränderungspfad logisch zusammenhängt, bevor Zeit in Umsetzung fließt.

Ideal for

  • Solution validation
  • Change design
  • Complex improvement measures

Not good for

  • Pure problem detection
  • Simple to-dos
  • Unclear solution ideas

Outputs

  • Reviewed FRT

    Future Reality Tree with injection, intermediate effects, DEs, checked sufficiency, and treated negative branches.

Future Reality Tree · working structure

Fictional example

Fictional values show the actual method fields.

Desired effects

Translate UDEs into concrete Desired Effects with observable success.

DE1 p80 wait <12; DE2 warehouse load without peaks; DE3 emergencies retain access.

Starting injection

Enter injection as a mechanism with validity boundary.

Capacity-visible express windows without a separate emergency rule.

Causal tree

Build intermediate effects from injection to DEs with required conditions.

Visible capacity + slot rule → realistic booking → fewer peaks → DE1/DE2.

Negative branches

Develop negative branches from affected perspectives and assess probability/severity.

Reserved windows → fewer free express places → emergency risk, unless emergency slot exists.

Reviewed FRT

Add injections and recheck the complete tree for sufficiency and conflicts.

Emergency slot plus release rule preserves DE3; owner and measure set before pilot.

All values are fictional.

Reference · original teaching example

First step

Provide one clear injection and affected UDEs; set system boundary and horizon.

Open the method guide

Deep dive

Purpose

A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.

How it works

Clear improvements serve as the starting point for chains of effect projected into the future. Intermediate states, possible side effects, and necessary reinforcements complete the path until it reads as verifiable logic from intervention to outcome.

In detail

The Future Reality Tree works forward from planned interventions to expected effects. Every link explains why a measure should trigger a specific effect. At the same time, negative branches are sought, meaning undesirable side effects of the solution. That makes the solution not only attractive but also logically checked and less risky.

Facilitation

Start with a few clear injections and test every chain of effects as a team. Ask actively about side effects, missing prerequisites, and reinforcing logic. Do not record negative branches as rejection of the solution, but as a design hint for a better implementation.

The method guide walks execution through 5 phases, timing, 5 pitfalls, and clear stop criteria.

Open method guide

Your perspective

Does this method help with your work?

Your feedback helps shape the next improvements to methodatlas.

Sources and topics

Topics
Artifact templates
Future Reality Tree: WorksheetSet subject, evidence, roles, flow, and review.
markdown

future-reality-tree-working-template.md

Set subject, evidence, roles, flow, and review.

Future Reality Tree: Worksheet

Question

To be confirmed

Desired outcome

To be confirmed

Scope

Complete run Time: 120–240 minutes plus domain review.

Complete this worksheet on paper or in your own document during the work.

Preparation for this scope

Method setup

  • Materials: Injection, UDEs, desired effects, FRT logic, Categories of Legitimate Reservation, and negative-branch log
  • Roles: TP facilitator · injection owner · domain perspectives · affected side-effect perspectives
  • Advance information: Provide one clear injection and affected UDEs; set system boundary and horizon.
  • Overall time needed: 120–240 minutes plus domain review.
  • Setup: Prepare a workspace with Outcomes · Injection · Logic · Side effects · Protect; separate example from live data.

Prepare for the work steps

Outcomes: Desired effects

  • Provide one clear injection and affected UDEs; set system boundary and horizon.
  • Injection, UDEs, desired effects, FRT logic, Categories of Legitimate Reservation, and negative-branch log

Injection: Starting injection

  • Desired effects

Logic: Causal tree

  • Starting injection

Side effects: Negative branches

  • Causal tree

Protect: Reviewed FRT

  • Negative branches

Future Reality Tree · working structure

Desired effects

Translate UDEs into concrete Desired Effects with observable success.

...

Starting injection

Enter injection as a mechanism with validity boundary.

...

Causal tree

Build intermediate effects from injection to DEs with required conditions.

...

Negative branches

Develop negative branches from affected perspectives and assess probability/severity.

...

Reviewed FRT

Add injections and recheck the complete tree for sufficiency and conflicts.

...

The blank worksheet contains prompts only.

Reference · original teaching example

Outcomes: Desired effects

Expected artifact: Desired effects

Translate UDEs into concrete Desired Effects with observable success.

Entry:

...

  • Is each DE a positive observable future rather than absence?

Injection: Starting injection

Expected artifact: Starting injection

Enter injection as a mechanism with validity boundary.

Entry:

...

  • Is it clear which cause or assumption changes?

Logic: Causal tree

Expected artifact: Causal tree

Build intermediate effects from injection to DEs with required conditions.

Entry:

...

  • Does every arrow pass if-then and expose missing conditions?

Side effects: Negative branches

Expected artifact: Negative branches

Develop negative branches from affected perspectives and assess probability/severity.

Entry:

...

  • Are plausible side effects modelled causally?

Protect: Reviewed FRT

Expected artifact: Reviewed FRT

Add injections and recheck the complete tree for sufficiency and conflicts.

Entry:

...

  • Do additions treat side effects without destroying main effect?

Open questions and next steps

...

Method guide: https://methodatlas.meierhoff-systems.de/en/methods/future-reality-tree/run-sheet

Alternatives and neighbors

Fitting alternatives with decision guidance, followed by other related methods.

All methods
Constraints and origin
HighWorkshop2-4 h

Profile

Method form
Mapping tool
Participants
3-8
Time
2-4 h
Maturity
Established
Origin
Eliyahu M. Goldratt
Paper illustration of RAID Log with a method-specific labelled workspace.
Next up: RAID Log