# SNUXH: A Set of Social Network User Experience Heuristics
## 4 Applying the Methodology to Establish SNUXH
### First Iteration  
In the first iteration, all stages were performed. In \"Step 1: Exploratory stage\", we conducted a literature review to collect information about: Social networks and features (see Sections 2 and 2.1); usability/UX attributes (see Sections 2 and 2.2); and existing set of heuristics (see Sections 2 and 2.4). We performed the activities proposed in the methodology [6, 7] for conducting the literature review. In \"Step 2: Experimental stage\", we performed a heuristic evaluation of Facebook using three sets of heuristics ([PERSON] [10], [PERSON] et al. [13], and [PERSON] et al. [14]). Based on the results, we: (1) Analyzed how each set cover (or not cover) the usability/UX problems detected by evaluators; (2) analyzed correct/incorrect associations among problems and heuristics; (3) detected heuristics with unclear definitions; and (4) identified what heuristics are necessary to create to evaluate specific features of social networks not evaluated by the existing sets. For more detail about the results obtained in the experiment performed, see Appendix F.  
In \"Step 3: Descriptive stage\", we grouped the information collected in steps 1 and 2 (features of social networks, usability/UX attributes, existing sets of heuristics, usability/UX problems), and we sorted and prioritized the information of each topic using a three-level scale. Finally, based on the value assigned, we selected the next information to develop the heuristics: Six social network features (security, connectivity, interaction, customization, content management, help center); three usability attributes (effectiveness, efficiency, satisfaction); five UX attributes (useful, usable, desirable, findable, credible); and three existing sets of heuristics ([PERSON] [10], [PERSON] et al. [13], and [PERSON] et al. [14]). The detail of selected information can be reviewed in Appendix G. In \"Step 4: Correlational stage\", we matched the social network features, usability/UX attributes, and existing sets of heuristics. Only the \"Help center\" feature is completely covered by the existing sets of heuristics; while the \"Security\" feature is partially covered. The features \"Connectivity\", \"Interaction\", \"Customization\", and \"Content management\" are slightly covered, so it is necessary to create new heuristics to evaluate these features. We decided not to group the heuristics into categories. For more detail about the matching process, see Appendix H.  
In \"Step 5: Selection stage\", using the three existing sets of heuristics selected in step 3 [10, 13, 14], we kept zero heuristics without changes; adapted 25 heuristics to evaluate both general and specific features; and discard nine heuristics (since they did not fit to evaluate social networks). We created one new heuristic for evaluating the specific social network feature \"Content management\". For more details about the selection process, see Appendix I. In \"Step 6: Specification stage\", we proposed the first version of social network heuristics (SNH, see Appendix E). This version included 16 heuristics, and the template proposed in the methodology was used for its specification, including all elements except the \"checklist\" item (\"checklist\" was added in the second iteration). In \"Step 7: Validation stage\", we validated the first version of heuristics through heuristic evaluations, analyzing Facebook. Evaluations were carried out by two separate groups of evaluators, in equal conditions. Each group was composed of three evaluators, of a similar level of expertise. One group used only the SNH set (experimental group), while the other group used only [PERSON]'s heuristics [10] (control group). All evaluators have moderate to high expertise in HCI and have experience performing heuristic evaluations (they performed a heuristic evaluation on a regular basis). The results obtained by the two groups were then compared. The details of heuristic evaluations performed, and results obtained are presented in Sections 2.1 and 5.