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PartyPeople

Avatar for Justin Tran Justin Tran
November 18, 2016
54

 PartyPeople

Slides describing PartyPeople.me and a critique of WholesomeEducation

Avatar for Justin Tran

Justin Tran

November 18, 2016

Transcript

  1. The Team Phoenix Bishea AWS, Database Design, API Design Itoro

    Esiere Data Collection, Frontend Rachael Metcalf Frontend, Design Julie Muzy Frontend Nathan Seegmiller AWS, Database Design Justin Tran Data Collection, Frontend Jason Vila Data Collection, Backend, Search, D3
  2. Total Issues: 65 Issues Resolved: 65 Unresolved Issues: 0 Phoenix

    Bishea 22 Itoro Esiere 18 Rachael Metcalf 20 Julie Muzy 29 Nathan Seegmiller 18 Justin Tran 22 Jason Vila 17 Issue Tracker We did lots of pair programming, so one issue could go to multiple people!
  3. Total Commits: 65 Phoenix Bishea 47 Itoro Esiere 40 Rachael

    Metcalf 18 Julie Muzy 53 Nathan Seegmiller 30 Justin Tran 42 Jason Vila 33 Commits We did lots of pair programming, so commits represented who was driving!
  4. Unit Tests Total Unit Tests: 32 Phoenix Bishea 16 Itoro

    Esiere 0 Rachael Metcalf 0 Julie Muzy 0 Nathan Seegmiller 16 Justin Tran 0 Jason Vila 0
  5. What did we do well? • Mobile compatibility. • Site

    looks cohesive and consistent. • Search layout and model tables look good.
  6. What did we learn? • Organization is really important, but

    really hard. • Things take longer than you think, and things always go wrong. • Good documentation is hard to find.
  7. What could we do better?/ What puzzles us? • Make

    our details pages more professional. • Shorten the length of the party descriptions. • Fix missing candidate information and photos. • Inability to directly search an ID (e.g. partypeople.me/parties/3).
  8. What did they do well? • It looks nice; simple,

    but effective. • Loads quickly. • They presented their data well.
  9. What did we learn from them? • Simplicity can go

    a long way. • Different fonts and formatting can help create variety.
  10. What could they do better?/ What puzzles us? • Image

    selection (e.g. Tempe). • Fix missing or incorrect information (e.g. one student colleges). • Illustrate how many pages are in a table. • Table inconsistencies. • Reload search results after returning from a model page.