- ### __Definition : __ - The perception of an apparently complete or logical data presentation can stop the search for omissions. - ### __OODA Class : __ - Observe Phase - ### __OODA Subclass : __ - Information Gathering - ### __Classification Reasoning : __ - Reasoning for class and subclass assignment: Completeness is related to how the information is ‘observed’ and whether further information will be gathered or not depending on the observation. The bias directly impacts the search for additional information especially in cases where there is a false sense of the gathered information being complete enough to move to the orient phase. - ### __Example : __ - NoSQL database selection: Mongo DB being one of the more popular NoSql database, brings a tendency for architects to decide on using it without gathering information about alternatives such as Couchbase, ArangoDB etc. This makes the selection pool for architecture decision incomplete. - ### __Impact : __ - Leads to illogical elimination of potential alternatives. - ### __Debiasing Techniques : __ - In the above example, the choice of MongoDB was made in a ‘naturalistic’ way. To ensure a rational selection process, creating a selection pool of candidate technologies along with their pros and cons makes information more complete leading to better decision-making. - ### __Related Biases :__