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InventivoDesign

  1. In case you missed my presentation on evaluation tradeoffs at ASTD in Denver, free handouts are available here: ow.ly/aPo34 #in
  2. Thanks to Gail Barrinton, this is a great post for independent evaluators to estimate their cost of doing business: ow.ly/aPnPq #in
  3. This is the future of Human Capital metrics and reporting (ANSI), public comment open until 24 May 2012: ow.ly/abq0x #in
  4. Great article, metaphor why dashboards aren't complete story of your data. Do you live what you care about? ow.ly/a9RuL #in
  5. Capability is worth more than experience, esp with so many who want a job. Thanks Tammy: RT @HarvardBiz: s.hbr.org/HWPrq1 #in
  6. If structural unemployment is the real issue, change = develop individuals' capability to do the work. on.wsj.com/GQuoWt via @WSJ #in
  7. HR alert, don't unplug the network hub to save $. RT @harvardbiz: Look Beyond the Team: It's About the Network s.hbr.org/GJu0GB #in
  8. Sorry, you don't gain competency just by being in an MBA program. RT @HarvardBiz, MBAs Competency Test: s.hbr.org/yvilFd #in
  9. A low bid proposal, while cheap, isn't if you have to do rework to get the data you need. Best value = your questions answered. #in
  10. Too many interviews offer diminishing returns. Segment your sample, get just what you need, here's proof: ow.ly/8FOaQ #in
  11. There's data behind the Good Company idea, it's not a fad: ow.ly/8F6sP Details in the book, your company might be on the list.
  12. An example of efficient evaluation w/ triangulation: RT @HarvardBiz - When You Don't Have 90 Days to Listen: s.hbr.org/AszLX6 #in
  13. Newsflash(part2)~For analytics, start with the right question, then see what data you have & need. Your stats model may be unique. #in
  14. Newsflash~Moneyball, CH4: The data for analytics didn't exist, it had to be created w/ great effort & expense, with a question in mind. #in
  15. ROI doesn't tell you WHY it worked (or not). Evaluation into the effectiveness of your choice will. Beware of the bright shiny object. #in
  16. An evaluator identifies key questions, appropriate data, connections within the data and delivery; it's what we do: ow.ly/8gNco #in
  17. A primer on response rates and representativeness in 300 words: ow.ly/82MPW #in
  18. Packaging matters - people don't have time to reformat data to be useful for distribution. Make it easy to ensure results are used. #in
  19. More support that it's performance that matters: RT @HarvardBiz - Spotting the Great but Imperfect Resume: s.hbr.org/vzIz0h #in
  20. Good reminder about strategy and choosing metrics: RT @HarvardBiz - Five Common Strategy Mistakes: s.hbr.org/vy8lyr #in