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Compared with other frameworks

How the Tree of Influence relates to other ways of mapping causes and outcomes, and when to use one of them instead.

If you already know a framework for mapping causes or outcomes, the Tree of Influence will feel familiar. This page shows what carries over, what is different, and when the other framework is the better choice.

The Tree of Influence was not derived from any of these frameworks. It grew out of practice, and the resemblances were noticed afterward (see the origin story). Treat them as reference points, not ancestors.

What sets it apart

Most frameworks on this page share one or two of these traits. None shares all of them.

At a glance

Framework What it maps What it produces Best when
Tree of Influence Many problems, the outcomes people want, and the actions in between Shared understanding and priorities A group needs to understand a tangled situation before deciding what to do
Current Reality Tree Undesirable effects and their causes One core problem You need rigorous logic that converges on the one cause to fix
Problem tree One core problem, its causes, and its effects An objective tree for a project You are scoping one project around one problem
Interrelationship digraph Influence among a short list of issues The key driver and the key outcome You need to rank a handful of issues quickly
Causal loop diagram Feedback loops between quantities Insight into vicious and virtuous circles The trouble is loops and delays, not a chain of causes
Ishikawa diagram Causes of one effect, by category Candidate causes to verify You are investigating one defect or incident
5 Whys One chain of causes A root cause The problem is small and its cause runs in one chain
Fault tree analysis How a system can fail, through logic gates Failure probabilities Safety or reliability needs quantified risk
Opportunity solution tree Paths from one product outcome to experiments Experiments to run A product team is choosing what to build next
Impact mapping A goal, its actors, impacts, and deliverables A roadmap of deliverables You are planning software against a business goal
Strategy map Strategic objectives in 4 perspectives Objectives to measure You are communicating a strategy that has been decided
Theory of change Preconditions for a long-term goal Interventions and indicators A program needs a plan it can be evaluated against

One example, drawn several ways

The sketches on this page draw the situation used across this site: a team mapping why new hires take months to become productive. Here it is as a Tree of Influence.

The full onboarding tree 9 nodes and 8 arrows: 5 root / problem, 2 action / intervention, 2 desired state / outcome. A text version follows the diagram. [P]Documentation isout of date [P]Each teamonboardsdifferently [P]Setting up alaptop takes aweek [P]Senior peoplehave no time tomentor [A]Automate laptopsetup [P]New hires areafraid to askquestions [A]Assign each newhire a buddy [O]New hires shipsomething intheir firstmonth [O]New hires feelwelcome andconfident Legend [P] Root / Problem [A] Action / Intervention [O] Desired State / Outcome Flow: roots (bottom) → outcomes (top).
Diagram as text: The full onboarding tree

Nodes:

  • Root / Problem: "Documentation is out of date"
  • Root / Problem: "Each team onboards differently"
  • Root / Problem: "Setting up a laptop takes a week"
  • Root / Problem: "Senior people have no time to mentor"
  • Root / Problem: "New hires are afraid to ask questions"
  • Action / Intervention: "Automate laptop setup"
  • Action / Intervention: "Assign each new hire a buddy"
  • Desired State / Outcome: "New hires ship something in their first month"
  • Desired State / Outcome: "New hires feel welcome and confident"

Arrows:

  • "Each team onboards differently" influences "Documentation is out of date"
  • "Setting up a laptop takes a week" influences "Automate laptop setup"
  • "Senior people have no time to mentor" influences "New hires are afraid to ask questions"
  • "Senior people have no time to mentor" influences "Assign each new hire a buddy"
  • "Documentation is out of date" influences "New hires ship something in their first month"
  • "Automate laptop setup" influences "New hires ship something in their first month"
  • "New hires are afraid to ask questions" influences "New hires feel welcome and confident"
  • "Assign each new hire a buddy" influences "New hires feel welcome and confident"

The sketches use the same problems. Where a framework demands something the onboarding tree does not have, such as a single core problem, the sketch adds it. They are drawn in plain boxes on purpose, so they are never mistaken for a Tree of Influence.

Closest relatives

These 4 frameworks map causes as a network of arrows, like a Tree of Influence does. Someone who knows one of them may recognize a Tree of Influence at first sight.

Current Reality Tree

A Current Reality Tree is part of the Thinking Processes that Eliyahu Goldratt developed for the Theory of Constraints in the early 1990s. It starts from a list of undesirable effects (UDEs) and works backward, with if-then logic, to the cause most of them share.

The onboarding problem as a Current Reality Tree A sketch of another framework's diagram, not a Tree of Influence. A text version follows the diagram. New hires take months to become productive UDE New hires are afraid to ask questions UDE Documentation is out of date Senior people have no time to mentor Each team onboards differently Onboarding is nobody's job Core problem and
Read from the bottom up, as if-then statements. The ellipse means both causes are needed. Every path leads down to a single core problem.
Diagram as text: The onboarding problem as a Current Reality Tree
  • Undesirable effects (UDEs), at the top: "New hires take months to become productive" and "New hires are afraid to ask questions".
  • If "Documentation is out of date" and "Senior people have no time to mentor", then "New hires take months to become productive". Both causes are needed together.
  • If "Senior people have no time to mentor", then "New hires are afraid to ask questions".
  • If "Each team onboards differently", then "Documentation is out of date".
  • Core problem, at the bottom: "Onboarding is nobody's job". It leads to "Each team onboards differently" and to "Senior people have no time to mentor".

Similarities: Both are directed graphs of cause and effect, drawn from causes at the bottom to effects at the top. Both exist to understand a situation before changing it. Of all the frameworks here, it is the closest relative.

Differences:

Use it instead when you need to find the one constraint worth attacking, and the group is willing to test every arrow with rigorous logic.

Problem tree

Problem tree analysis is a planning tool from international development, often the first step of the Logical Framework Approach. A small group writes the core problem in the trunk, its causes as roots, and its effects as branches.

The onboarding problem as a problem tree A sketch of another framework's diagram, not a Tree of Influence. A text version follows the diagram. Effects Core problem Causes Teams miss delivery dates New hires leave in their first year New hires take months to become productive Documentation is out of date Senior people have no time to mentor Setting up a laptop takes a week Each team onboards differently
One core problem in the trunk, its causes below as roots, its effects above as branches. Every node is a problem.
Diagram as text: The onboarding problem as a problem tree
  • Core problem, the trunk: "New hires take months to become productive".
  • Causes, the roots: "Documentation is out of date", "Senior people have no time to mentor", and "Setting up a laptop takes a week". "Each team onboards differently" causes "Documentation is out of date".
  • Effects, the branches: "Teams miss delivery dates" and "New hires leave in their first year".
  • Every node is a problem. A later step rewrites each one as an objective to build the objective tree.

Similarities: The same metaphor, with causes as roots. A group, cards or sticky notes, and arrows of cause and effect.

Differences:

Use it instead when you are designing one project around one problem, especially when a funder expects a logical framework.

Interrelationship digraph

The interrelationship digraph is one of the 7 management and planning tools that the Union of Japanese Scientists and Engineers (JUSE) published in 1976. A group lays out a short list of issues, draws an arrow wherever one influences another, then counts the arrows. The issue with the most arrows going out is the key driver. The issue with the most coming in is the key outcome.

The onboarding problem as an interrelationship digraph A sketch of another framework's diagram, not a Tree of Influence. A text version follows the diagram. New hires take months to become productive Key outcome: in 3, out 0 New hires are afraid to ask questions Documentation is out of date Senior people have no time to mentor Key driver: in 0, out 2 Each team onboards differently In 0, out 1 In 1, out 1 In 1, out 1
Issues arranged in a loose circle, with an arrow wherever one influences another. Counting arrows in and out picks out the key driver and the key outcome.
Diagram as text: The onboarding problem as an interrelationship digraph
  • "Each team onboards differently" influences "Documentation is out of date".
  • "Senior people have no time to mentor" influences "New hires are afraid to ask questions" and "New hires take months to become productive".
  • "Documentation is out of date" and "New hires are afraid to ask questions" both influence "New hires take months to become productive".
  • Counting arrows: "Senior people have no time to mentor" has the most arrows going out (2, none coming in), so it is the key driver. "New hires take months to become productive" has the most coming in (3), so it is the key outcome.

Similarities: Arrows that mean "influences," drawn by a group on sticky notes. The counting maps neatly onto a Tree of Influence: a key driver is usually a deep problem, and a key outcome is usually an outcome.

Differences:

Use it instead when you have a handful of issues and need to find the driver quickly. It also works on one cluster of your tree, as a quick check of which problem to look at first.

Causal loop diagram

Causal loop diagrams come from system dynamics and systems thinking. They connect quantities, such as workload or morale, with arrows marked + or -, to reveal feedback loops that reinforce or balance themselves.

Similarities: Both map how things influence each other, and both treat loops as important.

Differences:

Use it instead when the trouble is dynamic: vicious circles, delays, and fixes that backfire. If a cycle survives every attempt to find a cause underneath it, a causal loop diagram is a good way to study it.

Root-cause tools

These tools dig into one problem, while a Tree of Influence spreads across many. They work well together: your tree finds the problems worth digging into, and a root-cause tool digs.

Ishikawa diagram

Kaoru Ishikawa popularized the cause-and-effect diagram, also called the fishbone, in Japanese quality management in the 1960s. The effect sits at the head. Causes hang from bones grouped into categories, such as people, methods, and machines.

The onboarding problem as an Ishikawa diagram A sketch of another framework's diagram, not a Tree of Influence. A text version follows the diagram. New hires take months to become productive Effect People Documentation Process Tools Senior people have no time to mentor New hires are afraid to ask questions Documentation is out of date Each team onboards differently Setting up a laptop takes a week
One effect at the head, causes sorted into categories along the bones. The causes are not connected to each other.
Diagram as text: The onboarding problem as an Ishikawa diagram
  • Effect, at the head of the fish: "New hires take months to become productive".
  • People: "Senior people have no time to mentor" and "New hires are afraid to ask questions".
  • Documentation: "Documentation is out of date".
  • Process: "Each team onboards differently".
  • Tools: "Setting up a laptop takes a week".
  • Every cause points at the one effect. No cause is connected to another, and there are no outcomes or actions.

Similarities: Both ask "what causes this?", and both are easy to draw on a whiteboard with a group.

Differences:

Use it instead when you are investigating one defect or incident and want to be sure no category of cause was overlooked. Within a Tree of Influence, it suits a deep dive on a single problem.

5 Whys

The 5 Whys technique was developed by Sakichi Toyoda and became part of the Toyota Production System. You ask "why?" about a problem, then about the answer, about 5 times, until you reach a cause you can act on.

Similarities: It is the same question a facilitator asks to deepen your tree: "what causes this?"

Differences: It follows a single chain, while each "why" could have several answers. Different people asking the same questions often reach different causes. A Tree of Influence keeps every answer, and lets the chains branch and merge.

Use it instead when the problem is small and contained, and you need a cause in minutes. Asking "why?" a few times at one node is also a good way to extend your tree toward deeper causes.

Fault tree analysis

Fault tree analysis was developed at Bell Laboratories in 1962, for the launch control system of a missile. A fault tree starts from an undesired top event. It breaks the event down through AND and OR gates into the failures that could cause it, often with a probability for each.

Similarities: Causes that branch beneath an effect.

Differences: It is an engineering tool. Every link is a precise logical claim, and the goal is to calculate risk. A Tree of Influence is for understanding, and its arrows are judgments a group agrees on.

Use it instead when safety or reliability depends on the answer, and you need numbers.

Outcome and strategy trees

These tools start from a goal and work toward what to do about it. A Tree of Influence starts from the problems and works toward the outcomes. The two directions complement each other.

Opportunity solution tree

Teresa Torres created the opportunity solution tree for product discovery, and describes it in her book Continuous Discovery Habits (2021). One desired outcome sits at the top. Below it come opportunities (customer needs, pain points, and desires), then solutions, then the assumption tests that check them.

Similarities: Outcomes at the top, and a shared picture that keeps a team aligned while it learns.

Differences:

Use it instead when a product team has a clear outcome and needs to choose what to build and test next. An outcome the group voted for on your tree can become the outcome at the top.

Impact mapping

Gojko Adzic described impact mapping in his 2012 book Impact Mapping. A map starts from a goal (why). It then lists the actors who can help or hinder it (who), the behavior changes that would help (how), and the deliverables that could cause them (what).

Similarities: A collaborative, visual map that links work to the outcome it serves.

Differences: It starts from 1 goal and plans toward deliverables, so it is a planning tool. Problems appear only between the lines. A Tree of Influence maps the problems in the way of many outcomes, and stops before planning.

Use it instead when you are planning a software roadmap and need every deliverable traced to a business goal. Your tree can tell you which goal is worth mapping.

Strategy map

Robert Kaplan and David Norton developed strategy maps from their Balanced Scorecard work in the 1990s. Objectives sit in 4 perspectives, linked by arrows of cause and effect. They run from learning and growth at the bottom, through internal processes and customers, to financial results at the top.

Similarities: Arrows that flow upward toward the results an organization wants, and one picture that links daily work to those results.

Differences: A strategy map describes a strategy that leaders have already chosen, as hypotheses to measure. Its nodes are objectives, not problems. A Tree of Influence maps what stands in the way, before anyone chooses.

Use it instead when you need to communicate and measure a strategy that has been decided. A Tree of Influence is good input to the discussion that decides it.

Theory of change

A theory of change starts from a long-term goal and maps backward through the preconditions needed to reach it. Interventions come last, with the assumptions behind each link written down. Carol Weiss popularized the term in 1995, in the evaluation of community programs.

Similarities: Pathways where one outcome makes the next possible, and the habit of asking what must be true before a result can happen.

Differences: It is a planning and evaluation tool, built to be measured and reported on. It works backward from one goal. A Tree of Influence works forward from many problems, and nobody is evaluated against it.

Use it instead when a program needs a plan it can be evaluated against, often because a funder asks for one.

Using them together

A Tree of Influence is a good first step when a situation is tangled and nobody knows yet which problem matters most. Once your tree has done its job, the tools above can take over:

These combinations follow from how the frameworks work. None of them is a documented practice yet. If you try one, share what you learned.