Familiarisation with data, reading it
Coding, generating codes (labels) that identify themes/features of data
Searching for themes, examining codes and data to identify patterns of meaning
Reviewing themes, see if themes can be applied to data, refines them
Defining and naming themes
Writing up, combining information gained from analysis and identified themes