Anchoring bias

As explained in Collaborative Software Design: How to facilitate domain modeling decisions

A cognitive bias in which an initial suggestion or piece of information disproportionately influences subsequent judgments and decisions.

Anchoring bias occurs when an initial suggestion disproportionately steers later judgments. In collaborative modeling, the first proposed interpretation can become the group’s reference point, especially when it comes from someone with higher rank. section 7.1.2

Choosing pivotal events

During EventStorming, a senior participant names one domain event as pivotal. Others follow that suggestion or offer nearby alternatives, narrowing the group’s exploration. Separate Example Mapping subgroups can also converge after viewing one another’s early rules and examples. section 7.1.2

Reduce anchoring before group discussion:

• Ask everyone to write individual ideas on sticky notes before sharing. section 7.4
• Start visualizing alternatives when discussion remains purely verbal. section 7.4
• Prepare a deliberate nudge, such as a template, prompt, or framing concept, and define the change it should encourage. section 7.4

Figure 7.1 Sensemaking exercise to demonstrate cognitive bias during collaborative modeling

Use the sensemaking exercise to observe how groups’ outputs converge and discuss where an early idea may have shaped the result. section 7.1.2

How Collaborative Software Design: How to facilitate domain modeling decisions covers it

How deep it goes

Demonstrates the bias through EventStorming and Example Mapping, then gives facilitation practices to limit its influence.

Examples

Uses pivotal-event selection, subgroup convergence, sticky-note ideation, visualized flows, and prepared facilitation nudges.

What it assumes

Assumes participation in meetings or collaborative modeling while teaching the bias through concrete group situations.

What you can do after

Practice/perform by detecting anchoring patterns and creating meeting structures that elicit individual ideas before group influence.

How it connects

Connects anchoring effect with cognitive bias, ranking, collaborative modeling, EventStorming, and Example Mapping.

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Also explained in

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  Demand Forecasting Best PracticesAnchoring bias is the tendency for an initial number or idea to influence subsequent estimates or judgments, even when it is unrelated or weakly relevant.

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Related concepts

• cognitive biaskind of · A cognitive bias is a systematic tendency in human perception, judgment, or reasoning that can distort how information is evaluated and decisions are made.
• biascontrasts with · Bias is a systematic deviation or tendency in data, measurements, estimates, judgments, or outputs that skews them relative to a relevant target or impartial baseline.
• outlier removaladdressed by · The exclusion of observations identified as unusually distant from the rest of a dataset.

This explainer was generated by Manning's knowledge graph from the text of Collaborative Software Design: How to facilitate domain modeling decisions. The section links point to the parts of the book it draws on.