Recently, @seriouslynow pointed me to a nice primer on user research by @semanticwill. My favorite slide lists five common biases,

which are:

• Confirmation bias (favoring data that supports your position)
• Framing effect (asking questions in a way that influences the answers)
• Observer-expectancy effect (influencing answers by the very act of posing the questions as a study)
• Recency bias (overly weighing more recent data over less recent data)
• False consensus (assuming everyone shares your point of view)

or “CFORF” for short. With a little rejiggering, we get a nice pneumonic:

• False consensus (assuming everyone shares your point of view)
• Framing effect (asking questions in a way that influences the answers)
• Observer-expectancy effect (influencing answers by the very act of posing the questions as a study)
• Recency bias (overly weighing more recent data over less recent data)
• Confirmation bias (favoring data that supports your position)

as in, “Stick a FFORC in it!”

</ rimshot> :-P