Transcript 19 July 2012 Data Uses

08:30:58 pm lrnchat: Hello everyone and welcome to #lrnchat. How have you been?
08:31:33 pm lrnchat: Please introduce yourself. Name, specialties, interests, etc.? #lrnchat
08:32:05 pm tmiket: RT @lrnchat: Join us at 8:30 ET tonight for a discussion of Data: what do we need to know, what do we learn from it? #lrnchat
08:32:28 pm JD_Dillon: Great night for a #lrnchat! I’m currently measuring time in “hours until I see ‘The Dark Knight'”
08:32:29 pm lrnchat: If you’re new to #lrnchat, you can find more information (rules, etc) at http://t.co/hphiuHmF
08:32:42 pm reubentozman: Reuben Tozman representative of the dark side #Lrnchat
08:33:14 pm trainersleaders: Paul Signorelli, San Franicisco-based writer/trainer/consultant, joining today’s live-tweet session of #lrnchat
08:33:17 pm JaneBozarth: @JD_Dillon I know several others. Enjoy! #lrnchat
08:33:27 pm JD_Dillon: JD from Orlando, spending most of my time developing on-demand learning resources, studying up for CPLP. #lrnchat
08:33:33 pm lrnchat: Q0. We always begin with this: What did you learn today? If not today, then this week? #lrnchat
08:33:34 pm JaneBozarth: @reubentozman oh, no, you represent the sweetness and light. #lrnchat
08:34:18 pm dvdlindenberg: Hello all! David Lindenberg, freelance ID from sunny Rocky Mount, NC. #lrnchat
08:34:41 pm JaneBozarth: Jane, RDU, this week writing up a case study on “narrating our work”. Liking social, informal, real world learning. #lrnchat
08:34:55 pm JaneBozarth: @dvdlindenberg so close and yet so far. #lrnchat
08:34:56 pm bwalbright: #lrnchat bjalbright here
08:34:58 pm reubentozman: @JaneBozarth No no Jane. It’s me….. #Lrnchat
08:35:21 pm JD_Dillon: A0) I have a few new team members this week, learning more about their capabilities and professional goals. #lrnchat
08:35:55 pm Tracy_Parish: I learned the guy across the street has a cottage today. Not exciting, but something new. #lrnchat😉
08:36:42 pm dvdlindenberg: @JaneBozarth The emphasis is on Rocky (Mount).🙂 and yes, RM is close, and yet far, far away… #lrnchat
08:36:52 pm JaneBozarth: Q0 learned about MS’s new pretense at almost-social features in Office13 & new Google search stuff #lrnchat
08:36:55 pm PML33T: Hi! I’m TL from Pasadena, CA! I’ve had a lot of lessons this week. One is, don’t let others emotions dictate your response. #lrnchat
08:36:58 pm trainersleaders: q0) Today, I learned (once again) that it only takes a gathering of the right 2 or 3 people to move a great project forward #lrnchat
08:37:39 pm reubentozman: Q0) been reading Prometheus Rising by Robert Anton Wilson. Learning ALOT about bio-survival network #Lrnchat
08:37:39 pm JaneBozarth: @trainersleaders usually better if it’s ONLY those 2 or 3, right? #lrnchat
08:37:56 pm bwalbright: Bj from TN #lrnchat
08:38:02 pm billcush: Hi all… RT @lrnchat: Q0. We always begin with this: What did you learn today? If not today, then this week? #lrnchat
08:38:05 pm LnDDave: Greetings #lrnchat! How’s everyone doing tonight?
08:38:26 pm JD_Dillon: Q0) Participating in Google’s ‘Power Searching’ MOOC, picking up some new ideas for instructional development (and searching). #lrnchat
08:38:44 pm Carol_LPM: carol cohen, newhampshire, LPM at HP. #lrnchat
08:38:45 pm billcush: Q0) Today I learned that a small list means getting more done. #lrnchat
08:38:50 pm SeanPutman1: Hi all Sean from Detroit #Lrnchat
08:39:06 pm joe_robens: How Small?? “@billcush: Q0) Today I learned that a small list means getting more done. #lrnchat”
08:39:07 pm billcush: @trainersleaders Hi Paul! Good to see you. #lrnchat
08:39:08 pm reubentozman: @LnDDave Hey Dave #Lrnchat
08:39:12 pm JaneBozarth: @JD_Dillon me too! Did you do the hangout? #lrnchat
08:39:28 pm reubentozman: That’s a good one RT @billcush: Q0) Today I learned that a small list means getting more done. #Lrnchat
08:39:33 pm lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat
08:39:46 pm SeanPutman1: A0)today I learned that Spotify is pretty cool. #Lrnchat
08:39:52 pm trainersleaders: Yes, @JaneBozarth, you’re right; progress often comes from only having the right 2 or 3 people present to move projects along #lrnchat
08:39:58 pm JaneBozarth: Tonight also tweeting on behalf of @cammybean, who couldn’t be here but sent several things for me to RT #lrnchat
08:40:05 pm JaneBozarth: RT @lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat
08:40:14 pm DavidDLaCroix: Another Dave here, from DC. Learning & education consultant, working as a contractor at the Smithsonian. #lrnchat
08:40:14 pm bwalbright: @LnDDave great #lrnchat
08:40:22 pm JD_Dillon: @JaneBozarth Didn’t get a chance to join but plan to watch the recording soon. #lrnchat
08:40:28 pm billcush: @joe_robens 6 things max. I am working on a system to focus on only that many thigns that absolutely must get done. #lrnchat
08:40:44 pm JD_Dillon: RT @lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat
08:41:04 pm Tracy_Parish: In regards to our org’s learning…we use none of it. Very very sad. #lrnchat
08:41:10 pm TheAirton: A0) Learned way too many people stay thru ALL the end movie credits. Also upcoming stories from Batman #lrnchat
08:41:16 pm reubentozman: Q1) BI data, web analytics lots to learn from. #Lrnchat
08:41:24 pm LnDDave: RT @JaneBozarth: RT @lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat
08:41:24 pm DavidDLaCroix: Howdy, @JaneBozart and @LnDDave. Cheers to all the rest. #lrnchat
08:41:25 pm Carol_LPM: I learned that there are ways to have a conversation with a 19 year old. #lrnchat
08:41:29 pm SeanPutman1: RT @lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #Lrnchat
08:41:30 pm billcush: RT @lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat
08:41:45 pm dvdlindenberg: Q1) Data gets used all the time, but is it valid data and is it used in the right context? #lrnchat
08:41:53 pm DavidDLaCroix: RT @lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat
08:42:00 pm JD_Dillon: A1) I question if the right data is collected and analyzed BEFORE it’s used. Just pulling a report usually doesn’t lead to answers. #lrnchat
08:42:05 pm SeanPutman1: A1)seems today very little gets used #Lrnchat
08:42:15 pm JaneBozarth: @Tracy_Parish yeah i would guess that’s the case for organizational learning everywhere. not true of,say, marketing, probably. #lrnchat
08:42:22 pm teatara: RT @JaneBozarth: looking forward to #lrnchat on “data” in 5 minutes. I’m especially concerned about the dark side of data/how it is used for evil. #lrnchat
08:42:31 pm JaneBozarth: @dvdlindenberg what data gets used? #lrnchat
08:42:37 pm KathyKitch: #lrnchat I have started doing some online training; big step for me; motivated by Jane Bozarth to do so. now the metrics begin
08:42:43 pm LnDDave: Q1) We use data to share stats; we need to start using data to tell stories. #lrnchat
08:42:48 pm billcush: Q1) I like to use data, but I am comfortable cutting it off and letting a lot of data go by….. #lrnchat
08:43:03 pm Tracy_Parish: @SeanPutman1 It also seems that very little of the data is accessible by those (us) who want to see/use/analyze it. #lrnchat
08:43:06 pm JD_Dillon: A1) We often don’t take the time to learn from data, especially if results don’t fit into a pre-determined measurements strategy. #lrnchat
08:43:16 pm SeanPutman1: A1) I think we can learn a lot fromthedata that’s available #Lrnchat
08:43:18 pm JD_Dillon: RT @LnDDave: Q1) We use data to share stats; we need to start using data to tell stories. #lrnchat
08:43:19 pm JaneBozarth: @KathyKitch why that’s nice. and why metrics? and what will you measure? and why? #lrnchat
08:43:27 pm billcush: Tend to agree with that… RT @seanputman1: A1)seems today very little gets used #Lrnchat
08:43:47 pm Carol_LPM: q1. Depends. For us the stupid smile sheet scores get all the attention and sometimes they kill us. Then tons of data is not used.
#lrnchat
08:43:47 pm JD_Dillon: A1) There’s a lot more to learning/performance data than quiz scores and completion percentages. #lrnchat
08:43:50 pm PML33T: +1 RT @LnDDave: Q1) We use data to share stats; we need to start using data to tell stories. #lrnchat
08:43:53 pm JaneBozarth: Q1 I watch orgs run 187 reports a day but have no idea what to do with it or why they want it. #lrnchat
08:44:05 pm IamOkema: RT @JaneBozarth: RT @lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat
08:44:06 pm reubentozman: Q1) #Mapdeck data gathered through #tincanapi from #mlearncon is very rich. Lots to learn from #Lrnchat
08:44:07 pm JaneBozarth: RT @LnDDave: Q1) We use data to share stats; we need to start using data to tell stories. #lrnchat
08:44:14 pm Dave_Ferguson: Data, like hay, found in stacks, very dry. Insight, like needle, has a point, not found easily in data. #lrnchat
08:44:31 pm TheAirton: A1) Too often little to none. Hence 29 TPS reports answering the same need but always getting deleted #lrnchat
08:44:33 pm JaneBozarth: Q1 It looks to me like marketing learns from data. HR/L&D others? not so much #lrnchat
08:44:45 pm JD_Dillon: RT @Dave_Ferguson: Data, like hay, found in stacks, very dry. Insight, like needle, has a point, not found easily in data. #lrnchat
08:44:59 pm SeanPutman1: RT @LnDDave: Q1) We use data to share stats; we need to start using data to tell stories. #Lrnchat
08:45:00 pm PML33T: A1: I find that if I cannot integrate the data, use it, it doesn’t matter how much or how good, I’ll never remember it. #lrnchat
08:45:07 pm DavidDLaCroix: Deep. RT @Dave_Ferguson: Data, like hay, found in stacks, very dry. Insight, like needle, has a point, not found easily in data. #lrnchat
08:45:15 pm lynnwms: Lynn from Nashville here. I went to the FOA Road Show Wed at the Freedom Forum. It pushed jounos to cull data to shape stories. #lrnchat
08:45:15 pm LnDDave: Q1) part of the problem with data is that every area tends to keep their own data under lock an key. #lrnchat
08:45:17 pm dvdlindenberg: @JaneBozarth people drop stats like “3 out of 4 lrnchatters believe in value of learning styles.” don’t mean it’s right. #lrnchat
08:45:35 pm dvdlindenberg: RT @TheAirton: A1) Too often little to none. Hence 29 TPS reports answering the same need but always getting deleted #lrnchat
08:45:40 pm reubentozman: @KathyKitch metrics and analytics are different. You need to build your story through metrics. #Lrnchat
08:45:51 pm Carol_LPM: I am lucky because we have done full evals on projects and used data for the power of good. That just doesn’t happen all the time #lrnchat
08:45:52 pm Dave_Ferguson: @DavidDLaCroix Depth comes from having been over my head a lot.
#lrnchat
08:46:02 pm SeanPutman1: RT @LnDDave: Q1) part of the problem with data is that every area tends to keep their own data under lock an key.>> very true #Lrnchat
08:46:08 pm JD_Dillon: A1) Why do orgs fear sharing data with everyone, not just stakeholders and management? Drop the walls! #lrnchat
08:46:12 pm DavidDLaCroix: @dvdlindenberg And of course, 80% of statistics are made up on the spot. #lrnchat
08:46:14 pm JaneBozarth: I don’t see learning. I see that we continue to disregard what doesn’t fit. #lrnchat
08:46:26 pm Tracy_Parish: @LnDDave True, no 1 wants to admit when their data shows shortcoming. Instead we should to learn from others who are excelling. #lrnchat
08:46:38 pm LnDDave: @JaneBozarth I think that’s because marketing collects data relevant to marketing – a lesson for L&D and HR? #lrnchat
08:46:41 pm JaneBozarth: @Carol_LPM I am very concerned about trends against using data for power of good. Stay tuned for upcoming question. #lrnchat
08:46:42 pm TheAirton: A1) data needs to clarify and close off needs answered while creating new question/ opportunities #lrnchat
08:47:11 pm JD_Dillon: A1) Effective analysis of data requires time between implementation of one project and the development of another. #lrnchat
08:47:11 pm SeanPutman1: RT @DavidDLaCroix: @dvdlindenberg And of course, 80% of statistics are made up on the spot.>> because then it is out of their silo #Lrnchat
08:47:12 pm LnDDave: RT @Dave_Ferguson: @DavidDLaCroix Depth comes from having been over my head a lot.
#lrnchat
08:47:26 pm Tracy_Parish: The amount of data we collect on patient experiences is insane. If we could do that with our staff too, we’d be rich. #lrnchat
08:47:31 pm JaneBozarth: I don’t see learning from it. We believe we know more than we know; we confuse correlation and causation. #lrnchat
08:48:09 pm LnDDave: RT @JaneBozarth: I don’t see learning from it. We believe we know more than we know; we confuse correlation and causation. #lrnchat
08:48:11 pm TheAirton: @JD_Dillon read Robert Frost poem about walls/ fences #lrnchat
08:48:25 pm Dave_Ferguson: A Kepner-Tregoe consultant used the term “cause-jumping” — look at data, decide it fits your favorite problem to solve.
#lrnchat
08:48:27 pm JaneBozarth: @LnDDave ya think? #lrnchat
08:49:01 pm JaneBozarth: SO PART 2 OF THE QUESTION WAS: what do we learn from the data we are using now? #lrnchat
08:49:10 pm JaneBozarth: @Dave_Ferguson perfect #lrnchat
08:49:11 pm TheAirton: @JaneBozarth I think confuse correlation altogether #lrnchat
08:49:11 pm dvdlindenberg: @Tracy_Parish but what gets done with all of that patient data? I used to work for hospital system too and saw first hand. #lrnchat
08:49:15 pm EdutainmentM: “@lrnchat: Q1) For all the data available, how much gets used? Do we learn from the data? #lrnchat”
08:49:17 pm reubentozman: This is key Jane. Thats why ROI is so f’d up. Tries to show causation RT @JaneBozarth: …. we confuse correlation and causation. #Lrnchat
08:49:17 pm trainersleaders: q1) I suspect we use only as much/little data as we can absorb & generally when it supports our existing beliefs; the rest flows by #lrnchat
08:49:28 pm JaneBozarth: A Kepner-Tregoe consultant used the term “cause-jumping” — look at data, decide it fits your favorite problem to solve #lrnchat
08:49:38 pm LnDDave: RT @JaneBozarth: SO PART 2 OF THE QUESTION WAS: what do we learn from the data we are using now? #lrnchat
08:49:51 pm JD_Dillon: @JaneBozarth how many hours of training were offered!🙂 #lrnchat
08:50:03 pm Dave_Ferguson: I’d like to see a presentation: “Here’s course we decided not to field b/c data said didn’t need (or wouldn’t help).” #lrnchat
08:50:36 pm spolos: RT @Dave_Ferguson: Data, like hay, found in stacks, very dry. Insight, like needle, has a point, not found easily in data. #lrnchat
08:50:45 pm EdutainmentM: Q1) Organized properly, data can be extremely useful and tell you what/when/where to offer activities. Demand planning #sdle #lrnchat
08:50:54 pm trainersleaders: @JaneBozarth: We probably generally learn what our own filters allow us to learn..and a little more if we’re open to change #lrnchat
08:50:54 pm JaneBozarth: @JD_Dillon good answer. #lrnchat
08:51:10 pm Tracy_Parish: @dvdlindenberg One eg. is using it to improve relationships between staff and pt; training the staff to interact differently. #lrnchat
08:51:11 pm reubentozman: Q1) You need benchmarks before you learn anything #Lrnchat
08:51:18 pm JaneBozarth: MT @jd_dillon What we learn from all the data? How many hours of training were offered. #lrnchat
08:51:25 pm Tracy_Parish: RT @reubentozman: Q1) You need benchmarks before you learn anything #Lrnchat
08:51:33 pm TheAirton: RT @reubentozman: Thats why ROI is so f’d up. (Edited) #Lrnchat
08:51:39 pm LnDDave: Q1) We learn that they liked to donuts. That’s about all the insight smile sheet data provides. #lrnchat
08:51:41 pm JaneBozarth: @EdutainmentM question is: how much are you using, and what are you learning from it? #lrnchat
08:51:56 pm SeanPutman1: RT @reubentozman: Q1) You need benchmarks before you learn anything #Lrnchat
08:52:13 pm PML33T: A1: You’d learn where the gaps are, what’s missing. You’d learn where you need to be heading. #lrnchat
08:52:21 pm trainersleaders: RT @LnDDave: Q1) part of the problem with data is that every area tends to keep their own data under lock and key. #lrnchat
08:52:59 pm LnDDave: Q1) we learn how many phone calls we need to make to people who disn’t complete online training modules. #lrnchat
08:53:05 pm JaneBozarth: RT @LnDDave: Q1) part of the problem with data is that every area tends to keep their own data under lock and key. #lrnchat
08:53:08 pm JD_Dillon: A1) Often you learn that your reporting abilities pure suck, hours to access the most basic information. #lrnchat
08:53:25 pm reubentozman: Q1) Recently been able to learn what content areas are most sought after as well as where people are finding that content #Lrnchat
08:53:40 pm JaneBozarth: @LnDDave I was hoping someone would mention smile sheet. talk about data that is ignored and not learned from… #lrnchat
08:53:57 pm Tracy_Parish: @LnDDave That’s as mind numbing as how many licks to the the centre of a tootsie pop.🙂 #lrnchat
08:54:08 pm JaneBozarth: Are others as delighted as I that we will now have lots more data to ignore and not learn from? Oops did I say that out loud? #lrnchat
08:54:26 pm JaneBozarth: RT @LnDDave: Q1) we learn how many phone calls we need to make to people who disnt complete online training modules. #lrnchat
08:54:36 pm LnDDave: Q1) when I started at a previous org, there were binders full o smile sheets that were completed, filed… And that’s about it. #lrnchat
08:54:37 pm Dave_Ferguson: @JaneBozarth In ginormous project, we used smile sheets b/c client wanted. Most useful to us: filled-in freeform comments. #lrnchat
08:54:45 pm TheAirton: Will there be an Insight Smile sheet post this #Lrnchat?
08:54:55 pm SeanPutman1: Q1)we learned which pieces of content were the most liked #Lrnchat
08:55:05 pm Dave_Ferguson: @JaneBozarth We did not, however, kid ourselves and say this was PERFORMANCE data. It was “stuff people wrote before leaving.”
#lrnchat
08:55:24 pm JaneBozarth: @TheAirton yes. don’t mention the doughnuts. #lrnchat
08:55:39 pm Tracy_Parish: RT @JaneBozarth: have lots more data to ignore and not learn from? #lrnchat – Funny but true. We’ll use it, it’s getting THEM to hear us.
08:55:39 pm JaneBozarth: @SeanPutman1 well that’s something. #lrnchat
08:55:40 pm lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
08:55:47 pm reubentozman: Are we only talking about data coming from formal instruction here. What about data you get from twitter apps? Anyone use that? #Lrnchat
08:56:10 pm TheAirton: @JaneBozarth grrrrrr #Lrnchat
08:56:14 pm Tracy_Parish: @reubentozman Who’s allowed to use Twitter at work???? #lrnchat
08:56:22 pm kellygarber: Q1) “we” only use data that we need to support, dispute, reason, or conclude. We learn from data every day. #lrnchat
08:56:31 pm LnDDave: We already have data to tell stories. A 67% completion ate isn’t a story; the story there is that people hate the training. #lrnchat
08:56:38 pm EdutainmentM: Q1) If you had the right data, wouldn’t you want to use it to determine what to offer next year? #sdle #lrnchat
08:56:44 pm reubentozman: Q2) every org will need different data. Don’t believe that there is a single dashboard. Resist…HARD #Lrnchat
08:56:48 pm Dave_Ferguson: For workplace learning, OTJ performance, you need performance data. What’s happening, or not? Who? Where?
#lrnchat
08:56:53 pm SeanPutman1: Not the greatest, but it is a start RT @JaneBozarth: @SeanPutman1 well thats something. #Lrnchat
08:57:02 pm Dave_Ferguson: Everything else is talk therapy. #lrnchat
08:57:06 pm SeanPutman1: RT @lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #Lrnchat
08:57:14 pm LnDDave: RT @lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
08:57:14 pm Tracy_Parish: @reubentozman Unfortunately need to get THEM onboard w/SoMe still. Maybe the “data grabbing” will show them another +side to it #lrnchat
08:57:17 pm trainersleaders: Best data flow I ever saw: New employer saved me 2 months of work on Day 1 by providing great surveys of what staff wanted from me #lrnchat
08:57:32 pm reubentozman: Is this only about work? RT @Tracy_Parish: @reubentozman Whos allowed to use Twitter at work???? #Lrnchat
08:57:48 pm JD_Dillon: A2) Data has to be easy to access, customize, and share, not locked away in a restricted LMS (ex: Google Analytics). #lrnchat
08:57:51 pm JaneBozarth: RT @lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
08:57:55 pm Dave_Ferguson: @reubentozman Yes! There’s a dashboard on my car. It won’t tell you you’re low on oil, though. You have to go look. #lrnchat
08:58:06 pm SeanPutman1: Q2)honestly we are not gett #Lrnchat
08:58:11 pm PML33T: RT @lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
08:58:25 pm Tracy_Parish: @reubentozman No not at all. You’re right. I want it for me too, but I also want to apply it to my “learners” #lrnchat
08:58:30 pm LnDDave: Q2) part of the problem is that we don’t think about what data we need; we just use the data that is handed to us. #lrnchat
08:58:31 pm JaneBozarth: @tracy_parish I am. Also, I am not ‘allowed’ to do anything. I’m not 6. #lrnchat
08:58:51 pm LnDDave: RT @reubentozman: Q2) every org will need different data. Don’t believe that there is a single dashboard. Resist…HARD #Lrnchat
08:58:55 pm SeanPutman1: RT @SeanPutman1: Q2)honestly we are not getting enough data (our fault) #lrnchat
08:59:13 pm trainersleaders: Q2) Shortcoming of data we have is often the superficiality/uselessness of what’s provided; less data, more meat = useful info #lrnchat
08:59:15 pm JD_Dillon: A2) We need data from what takes place before, during, AND after any learning intervention to understand impact. #lrnchat
08:59:18 pm edCetraT: RT @lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
08:59:20 pm TheAirton: Was not allowed to take notes or tweet at a tech presentation today. They had Insight Smile sheets that said “we are green” #Lrnchat
08:59:28 pm Tracy_Parish: RT @JD_Dillon: A2) We need data from what takes place before, during, AND after any learning intervention to understand impact. #lrnchat
08:59:59 pm kellygarber: RT @edutainmentm: Q1) If you had the right data, wouldn’t you want to use it to determine what to offer next year? #sdle #lrnchat
09:00:01 pm LnDDave: RT @edCetraT: RT @lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
09:00:04 pm dvdlindenberg: RT @LnDDave: Q2) part of the problem is that we dont think about what data we need; we just use the data that is handed to us. #lrnchat
09:00:23 pm Dave_Ferguson: @TheAirton Green: a color often seen when people are at sea. #lrnchat
09:00:30 pm trainersleaders: q2) The data we actually need is data that helps us meet our organizational goals/objectives & produce positive, effective change #lrnchat
09:00:40 pm JaneBozarth: @kellygarber what’s the right data? That’s question 2… #lrnchat
09:00:49 pm JD_Dillon: A2) We need access to AND understanding of business data, not just learning metrics, to correlate and align. #lrnchat
09:00:51 pm JaneBozarth: RT @LnDDave: Q2) part of the problem is that we dont think about what data we need; we just use the data that is handed to us. #lrnchat
09:00:59 pm Dave_Ferguson: @TheAirton I have no idea what Insight with a capital I is, and already I don’t like it. #lrnchat
09:00:59 pm EdutainmentM: RT @lrnchat: Q2) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
09:01:11 pm JaneBozarth: @LnDDave or we count things that are easy to count #lrnchat
09:01:16 pm SeanPutman1: Q2)we need data that helps us find our users struggles, so we can provide easy access to the right content #lrnchat
09:01:28 pm Tracy_Parish: RT @JaneBozarth: @LnDDave or we count things that are easy to count #lrnchat That’s sooooo true
09:01:48 pm JaneBozarth: @JD_Dillon yes, t&d is shifting to focus on learning measures rather than biz alignment. Is that a good thing? … #lrnchat
09:01:50 pm LnDDave: Q3) we have data about what people did to prepare for work; we need data about them actually working. #lrnchat
09:02:03 pm JaneBozarth: RT @SeanPutman1: Q2)we need data that helps us find our users struggles, so we can provide easy access to the right content #lrnchat
09:02:09 pm edCetraT: Q2) i don’t think it’s a shortcoming of the data. i think the shortcoming is taking the time to prepare and constantly analyze it #lrnchat
09:02:13 pm EdutainmentM: #lrnchat Q2a) shortcomings are not a good place to put the data that’s important.
09:02:14 pm trainersleaders: q2) If we want better data, we need to be the sort of trainer-teacher-learners who produce & show others how to produce better data #lrnchat
09:02:19 pm reubentozman: Q2) We need data that is ultimately going to ‘feed’ a story about the organization we want #Lrnchat
09:02:21 pm JD_Dillon: A2) We need data to help motivate and influence clients when they “need training” and we believe otherwise. #lrnchat
09:02:37 pm Tracy_Parish: I want data on how they are sharing their learnings and then expanding on those to increase their learnings. #lrnchat
09:03:10 pm michaelmerritt: RT @LnDDave: Q3) we have data about what people did to prepare for work; we need data about them actually working. #lrnchat
09:03:14 pm JD_Dillon: @JaneBozarth orgs shouldn’t differentiate between metrics that relate to business outcomes and learning. They all matter. #lrnchat
09:03:36 pm kellygarber: Q2: If you have the data you need to align the right learning assets with learners then the data has no shortcomings #lrnchat
09:04:01 pm EdutainmentM: #lrnchat Q2b) what we need is real demand planning data. Like a grocery store. We need to know who needs what activity.
09:04:18 pm Dave_Ferguson: @JD_Dillon When push comes to shove, though, I think biz outcomes win. Otherwise, you’ve got learning but no job. #lrnchat
09:04:21 pm trainersleaders: RT @Dave_Ferguson [on useful data] There’s a dashboard on my car. It won’t tell you you’re low on oil, though. You have to go look. #lrnchat
09:04:32 pm reubentozman: @Tracy_Parish you need to tie that into organizational performance otherwise who will care. That’s often L&D problem #Lrnchat
09:04:53 pm TheAirton: RT @Tracy_Parish: I want data on how they are sharing their learnings and then expanding on those to increase their learnings. #lrnchat
09:05:17 pm JaneBozarth: @JD_Dillon I agree. But trend is skewing heavily toward learning-only data. #lrnchat
09:05:23 pm reubentozman: RT @edCetraT: Q2) i dont think its a shortcoming of the data. the shortcoming is taking the time 2 prepare and constantly analyze #Lrnchat
09:05:39 pm JD_Dillon: @Dave_Ferguson learning outcomes are often ignored as valuable business metrics, management often doesn’t see the relationship #lrnchat
09:06:04 pm LnDDave: Q2) I don’t think it’s a data issue. It’s a mindset issue. There’s a difference between data and reports. We think via reports. #lrnchat
09:06:12 pm JaneBozarth: @reubentozman and yet we are moving further away from data that ties to org needs/biz alignment #lrnchat
09:06:20 pm kellygarber: Q2 – whatever data we need, there is probably an app for that
#lrnchat
09:06:48 pm dvdlindenberg: Q2) I want data on why they couldn’t complete ‘x’ task and how that affects biz, not a yes/no ‘did you complete the task?’ #lrnchat
09:06:48 pm Dave_Ferguson: 1/2 Joe Harless: what’s the value in solving the (org’s / client’s) problem? Was asked “Value in terms of what?”… #lrnchat
09:07:04 pm Tracy_Parish: @LnDDave I”ve got a lot of THEM that only think via bar and pie charts. #lrnchat
09:07:17 pm trainersleaders: If I had hair, I’d pull it out: RT @TheAirton couldn’t take notes at presentation today; had smile sheets that said “we’re green” #lrnchat
09:07:19 pm reubentozman: Q2) correlate learning data with emp performance….don’t build cause/effect relationship. Show how data sets move 2gether #Lrnchat
09:07:27 pm edCetraT: Q2) we have the tools (#tincanapi) to collect the data. we just need to believe in the data & do act on it. #lrnchat
09:07:29 pm Dave_Ferguson: 2/2 “Value in terms of money (for org)…Otherwise, you’re babysitting or doing psychotherapy.” #lrnchat
09:08:05 pm JD_Dillon: A2) Has anyone ever effectively assessed learning/performance improvement using a pie chart? #lrnchat
09:08:17 pm Dave_Ferguson: @dvdlindenberg Yes: Where does it hurt? How bad? How do you know? What are possibly causes? How much to fix?
#lrnchat
09:08:29 pm reubentozman: @JaneBozarth I disagree Jane. I think for those who can work with the #tincanapi there is great opportunity to tie the 2 #Lrnchat
09:08:34 pm Carol_LPM: q2 and q3 because analysis means work including time and money. It is easier to count butts in seats and smiles. #lrnchat
09:09:46 pm JaneBozarth: @reubentozman i haven’t seen that happening. Looking forward to it. #lrnchat
09:09:52 pm Carol_LPM: sometimes learning hurts. Its hard work. Why would that make a student smile? #lrnchat
09:10:05 pm JaneBozarth: @reubentozman …and I knew you would. #lrnchat
09:10:08 pm kelly_smith01: RT @Carol_LPM: sometimes learning hurts. Its hard work. Why would that make a student smile? #lrnchat
09:10:42 pm reubentozman: @JaneBozarth I can hook you up with examples🙂 #Lrnchat
09:10:44 pm lrnchat: Q3) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
09:10:49 pm Dave_Ferguson: @JD_Dillon Old Marshall Efron skit, cook as lab guy: “Morton Frozen Lemon Cream Pie. No lemon, no cream — just pie!” #lrnchat
09:10:55 pm LnDDave: I don’t think the masses will manipulate Tin Can data. They want a front end with check boxes for fields to pull into a report. #lrnchat
09:11:21 pm LnDDave: RT @lrnchat: Q3) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
09:11:27 pm JaneBozarth: RT @lrnchat: Q3) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
09:11:28 pm dvdlindenberg: @JD_Dillon no..but that was some tasty pie!😉 #lrnchat
09:11:33 pm reubentozman: @Dave_Ferguson I often talk about assessing the value of learning…and yes…value as you described #Lrnchat
09:11:41 pm kelly_smith01: Q3) Sometimes performance is in the eye of the beholder? #lrnchat
09:11:45 pm Dave_Ferguson: @lrnchat We collect activity data because it’s easy to pick up. Like dustmopping the floor instead of cleaning the gutters. #lrnchat
09:12:06 pm Tracy_Parish: RT @LnDDave: I don’t think the masses will manipulate Tin Can data. #lrnchat Reality is they many just not have time to manipulate.
09:12:09 pm JD_Dillon: RT @lrnchat: Q3) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
09:12:34 pm JaneBozarth: RT @Dave_Ferguson: We collect activity data because its easy to pick up. Like dustmopping the floor instead of cleaning the gutters #lrnchat
09:12:36 pm LnDDave: Q3) quite simply? Because we don’t understand how to collect performance data. #lrnchat
09:12:58 pm kelly_smith01: RT @LnDDave: Q3) quite simply? Because we don’t understand how to collect performance data. #lrnchat
09:13:08 pm JD_Dillon: A3) Activity data has its placed but it’s easy. Performance data takes time, effort, and money to collect and analyze. #lrnchat
09:13:08 pm reubentozman: @LnDDave Tin can data will come from a BI data modeler whose worked with you to understand what data you need.There is no manipultn #Lrnchat
09:13:10 pm JaneBozarth: Q3 because often orgs outside of sales really don’t know what performance they want . Activities easier to count #lrnchat
09:13:10 pm trainersleaders: Ditto: RT @Dave_Ferguson: We collect activity data because it’s easy…Like dustmopping the floor instead of cleaning the gutters #lrnchat
09:13:13 pm PML33T: Fitting for today’s chat🙂 Data Analysis – how does one turn data into insight? https://t.co/3fOPLZgt #lrnchat
09:13:16 pm JaneBozarth: RT @LnDDave: Q3) quite simply? Because we dont understand how to collect performance data. #lrnchat
09:13:24 pm EdutainmentM: #lrnchat If you ID job-specific skills tied to T&D activities and people self-assess against them, then assets do map to strategy
09:13:27 pm JaneBozarth: @LnDDave and activity data is fun!!! #lrnchat
09:13:40 pm JD_Dillon: RT @LnDDave: Q3) quite simply? Because we don’t understand how to collect performance data. #lrnchat
09:14:15 pm SeanPutman1: Performance data is hard to collect, majority will take the path of least resistance to activity data #lrnchat
09:14:23 pm EdutainmentM: RT @lrnchat: Q3) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
09:14:32 pm SeanPutman1: RT @LnDDave: Q3) quite simply? Because we dont understand how to collect performance data. #lrnchat
09:14:35 pm kelly_smith01: Collecting performance data os like is like herding cats. #lrnchat
09:15:08 pm LnDDave: @reubentozman see that’s my issue. Where is this BI modeler in an org where the design and development team sits in a single seat? #lrnchat
09:15:13 pm dvdlindenberg: RT @SeanPutman1: Performance data is hard to collect, majority will take the path of least resistance to activity data #lrnchat
09:15:15 pm reubentozman: Q3) who is the “we” who doesn’t understand how to collect perf data. Go to your web analytics team… #Lrnchat
09:15:25 pm EdutainmentM: #lrnchat Q3) If you mean a job’s activities, then it tells us what people must know how to do (and what training may be required)
09:15:32 pm Carol_LPM: kinda crackin up about the tincan high hopes. I see it having lots of benefits but don’t get the metrics connection. #lrnchat
09:15:34 pm kellygarber: RT @EdutainmentM: ID job-specific skills tied to T&D activities & people self-assess against them, then assets do map to strategy #lrnchat
09:15:42 pm edCetraT: RT @lrnchat: Q3) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
09:16:10 pm JaneBozarth: @reubentozman the web analytics team doesn’t know. #lrnchat
09:16:56 pm Carol_LPM: we mostly don’t collect performance data because “we” don’t like to talk to people. Machines can’t do it. #lrnchat
09:17:01 pm reubentozman: @LnDDave Just because an ID person doesn’t get it doesn’t mean nobody does. #Lrnchat
09:17:08 pm TheAirton: @trainersleaders I walked out and waited for the free food and showing of Batman #lrnchat
09:17:19 pm SeanPutman1: @reubentozman web analytics team isn’t going to tell me how people are performing with our software #lrnchat
09:17:29 pm dvdlindenberg: @JaneBozarth @reubentozman and for some, what web analytics team? #lrnchat
09:17:57 pm reubentozman: @JaneBozarth Of course they do. Go to a media company’s marketing department #Lrnchat
09:18:03 pm JD_Dillon: A3) it’s easier to use activity data to make yourself feel like you did a good job. #lrnchat
09:18:37 pm JaneBozarth: @reubentozman I ain’t got one of them there things. #lrnchat
09:18:44 pm Carol_LPM: web analytics can’t see what a person does with what they “hit” on the web geesh #lrnchat
09:18:46 pm edCetraT: Q3)Activity data will let me know what ppl are looking into to improve their performance. #lrnchat
09:18:49 pm Tracy_Parish: @LnDDave @reubentozman That gets into my….”don’t have time” comment. #lrnchat
09:18:54 pm reubentozman: @SeanPutman1 No but they can help you understand how to establish value of people using your software #Lrnchat
09:18:58 pm EdutainmentM: “@LnDDave: Where is this BI modeler in an org where the design and development team sits in a single seat? #lrnchat” -> DITTO THAT!!!
09:19:01 pm JaneBozarth: Also all the issues with individuals generating/self-reporting own activity data could be problematic. #lrnchat
09:19:05 pm Dave_Ferguson: Also: performance data doesn’t necessarily show up with a label saying “Relevant Useful Performance Data Here.” #lrnchat
09:19:22 pm JaneBozarth: RT @cammybean when our data becomes self-created we need to watch out – because people lie all the time.
#lrnchat
09:19:54 pm JaneBozarth: @Dave_Ferguson yes piles of data don’t help us know how to sift/know what to pay attention to #lrnchat
09:20:22 pm Dave_Ferguson: @JaneBozarth Re self-reporting: Hello Cupid says avg member (male, female) exaggerates height by 2 inches. (Like you won’t know) #lrnchat
09:20:29 pm reubentozman: @Carol_LPM metrics are not analytics. Web analytics is about building stories and profiles…nobody is better at building user… #Lrnchat
09:20:50 pm JaneBozarth: @dvdlindenberg @reubentozman srsly #lrnchat
09:20:58 pm dvdlindenberg: @Dave_Ferguson Also: perform. data doesn’t necessarily show up with a label saying “Relevant Useful Performance Data Here.” >dang! #lrnchat
09:20:58 pm reubentozman: @Carol_LPM …trends than web analytics. #Lrnchat
09:21:09 pm SeanPutman1: @reubentozman yes potentially, thinking better data might come form the support team #lrnchat
09:21:22 pm Carol_LPM: come on ruebentozman. Stop teasing me. How does this magical web analytics team measurd performance results? #lrnchat
09:21:40 pm edCetraT: RT @cammybean when data becomes self-created ..need to watch out – people lie all the time.>> …global data will show true trends. #lrnchat
09:21:59 pm TheAirton: A3) performance/ activity data is can be easily manipulated at times. I look at the “so what” columns leading &trailing #Lrnchat
09:22:19 pm JaneBozarth: Again: why so much focus on activities rather than performance? Why not performance? #lrnchat
09:23:00 pm kellygarber: Q3) P&L statements represent critical performance data – often times, you don’t need to look further #lrnchat
09:23:14 pm reubentozman: @Carol_LPM How do you think when you go to a website and somehow products you buy are advertised? #Lrnchat
09:23:26 pm Tracy_Parish: I’m outta here folks. This has been interesting. Can’t wait to read the rest tomorrow. Night all. #lrnchat
09:23:34 pm Dave_Ferguson: Tom Gilbert on activity vs performance: “Behavior you take with you; accomplishment you leave behind.” #lrnchat
09:24:08 pm JD_Dillon: A3) Activity data isolates itself (I know this data relates to what I did). Performance is difficult to tie to learning. #lrnchat
09:24:28 pm lrnchat: Q4) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
09:24:29 pm EdutainmentM: “@kellygarber: Q3) P&L statements represent critical performance data – often times, you don’t need to look further #lrnchat” -> right on!
09:24:54 pm reubentozman: @Carol_LPM You don’t think Amazon knows who you are, what you need and how successful their recommendation is? #Lrnchat
09:24:56 pm dvdlindenberg: @JaneBozarth because performance requires more accountability than activities #lrnchat
09:25:19 pm Carol_LPM: predictive analysis is interesting to propose stuff for me to do but it is still not measuring my performance. #lrnchat
09:25:24 pm JaneBozarth: RT @lrnchat Q4) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
09:25:33 pm JaneBozarth: RT @dvdlindenberg: @JaneBozarth because performance requires more accountability than activities #lrnchat
09:26:04 pm EdutainmentM: RT @lrnchat: Q4) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
09:26:16 pm ktvee: A4) difficult to reduce a quality conversation w/kid down to a number; becz in doing so, it kinda reduces the kid to a number. #lrnchat
09:26:27 pm JD_Dillon: A4) Learning data is often used as an excuse for discipline rather than an opportunity for growth. #lrnchat
09:26:33 pm JaneBozarth: Q4 we assume links and patterns, apply predictions as givens. #lrnchat
09:26:47 pm reubentozman: @Carol_LPM Well if the objective is to get you to buy more, isn’t that the performance their after? Don’t u think they measure that #Lrnchat
09:26:56 pm JaneBozarth: Q4 Used for evil: children labeled b/c of standardized test score #lrnchat
09:27:01 pm Dave_Ferguson: One risk of big data: big does not mean better (despite what they thing) but it will be VERY hard to change Big Data’s mind. #lrnchat
09:27:20 pm LnDDave: RT @lrnchat: Q4) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
09:27:25 pm EdutainmentM: #lrnchat Q4) when data is used in isolation and no context, it can be used for evil.
09:27:31 pm ktvee: Data for evil? when kids are labeled permanently; sorted into fixed categories to make teaching easier w/premade materials #lrnchat
09:27:35 pm JaneBozarth: Q4 probs w data dredging #lrnchat
09:27:36 pm SeanPutman1: Q4) drowning in data, there will be people not ready for what they get. #lrnchat
09:27:48 pm ktvee: RT @JaneBozarth: Q4 Used for evil: children labeled b/c of standardized test score <-Bingo! #lrnchat
09:27:53 pm LnDDave: RT @JaneBozarth: RT @dvdlindenberg: @JaneBozarth because performance requires more accountability than activities #lrnchat
09:27:53 pm reubentozman: Q4) getting the dashboard right with ‘big data’ is the biggest challenge and biggest risk for analytic companies #Lrnchat
09:27:57 pm JaneBozarth: Q4 already problems w things like LMS as panopticon– will only get worse #lrnchat
09:28:06 pm TheAirton: RT @JD_Dillon: A4) Learning data is often used as an excuse for discipline rather than an opportunity for growth. #lrnchat here here
09:28:07 pm JaneBozarth: RT @ktvee: Data for evil? when kids labeled permanently; sorted into fixed categories to make teaching easier w/premade materials #lrnchat
09:28:18 pm EdutainmentM: #lrnchat Q4) data used for evil all the time in statistics – you can always find one to justify your point of view
09:28:18 pm LnDDave: RT @JaneBozarth: Q4 Used for evil: children labeled b/c of standardized test score #lrnchat
09:28:33 pm JD_Dillon: RT @JaneBozarth: Q4 already problems w things like LMS as panopticon– will only get worse #lrnchat
09:28:46 pm edCetraT: Q4) I see ppl talk about predictions..i disagree. i would prefer that we refer to it as the ‘Contextual world’. #lrnchat
09:28:47 pm JaneBozarth: RT @cammybean when we create our own data, how is it validated? Seems like we’re opening ourselves up to a LOT of subjectivity. #lrnchat
09:28:48 pm trainersleaders: q4: “Ever seen data used for evil?” When we use data to prove a point instead of to learn something, we’re using it for evil #lrnchat
09:28:57 pm kellygarber: Q4 – data used to created skewed statistics #lrnchat
09:29:19 pm JaneBozarth: RT @cammybean how do we measure subjectivity? #lrnchat
09:29:26 pm JaneBozarth: RT @cammybean Self-reported data get dangerous. Just because I say I learned or did something doesn’t mean that I did. #lrnchat
09:29:40 pm LnDDave: Q4) “I am more than just my data stream” #lrnchat
09:29:46 pm JaneBozarth: RT @cammybean I saw someone report “I learned instructional design today.” #lrnchat
09:29:55 pm reubentozman: Q4) evil-you can always find the numbers to prove whatever we want. Done all too often #Lrnchat
09:29:58 pm SeanPutman1: Have to drop off, thanks all. Looking forward to the transcript #lrnchat
09:30:02 pm Carol_LPM: q4) data has been used for the powers of evil forever. Luckily the angels of training (heehee) work for good. #lrnchat
09:30:08 pm JaneBozarth: “manipulation is compelling” #lrnchat
09:30:35 pm ktvee: @EurekaTeacher Sure- not saying all are bad; but I’m super annoyed with text book companies w/terribly differentiated materials #lrnchat
09:30:46 pm TheAirton: More data creates a “Money Ball” like focus on people. I like the anecdotal. #Lrnchat
09:31:09 pm DavidDLaCroix: RT @JaneBozarth: RT @cammybean how do we measure subjectivity? #lrnchat
09:31:14 pm trainersleaders: q4) If we use data to prove a point that helps us learn, we’re far less evil than we are when we use data just to win an argument #lrnchat
09:31:18 pm JaneBozarth: Promise of connecting threads that aren’t really connected. #lrnchat
09:31:40 pm JaneBozarth: RT @cammybean Just because I say I’m awesome doesn’t mean that I’m awesome. #lrnchat
09:31:43 pm kelly_smith01: It is important WHEN you collect the performance data. #lrnchat
09:32:13 pm trainersleaders: q4) If we use data to make a positive difference for those we serve, we’re on the road to canonization #lrnchat
09:32:26 pm JaneBozarth: Q4 so much talk lately about what’s being gathered but not how put to use #lrnchat
09:32:40 pm eLearning_softw: Have you joined the social evolution? http://t.co/TCsYkFQ3 #lrnchat #edchat #sociallearning #mlearning
09:33:00 pm JaneBozarth: Q4 We need to do a live “Real Genius” chat sometime… #lrnchat
09:33:10 pm reubentozman: @cammybean why do you want to measure subjectivity…I don’t even understand that… #Lrnchat
09:33:10 pm JD_Dillon: A4) Great points by all! Data when used incorrectly can divorce stakeholders of accountability, depersonalize the workplace. #lrnchat
09:33:54 pm JD_Dillon: @JaneBozarth That seems to be a pretty consistent trend: look at what we could do but not how I actually do it. #lrnchat
09:33:56 pm JaneBozarth: Target web analytics”could ID 25 products,allowed him to assign each shopper a “pregnancy prediction”score & estimate her due date” #lrnchat
09:34:11 pm trainersleaders: Oh, how deliciously evil the trainers are tonight! RT @JaneBozarth “manipulation is compelling” #lrnchat
09:34:12 pm kellygarber: Q4 – If I had to pick the data to trust, I would trust self reported – you can’t get more intimate than that. #lrnchat
09:34:33 pm LnDDave: RT @reubentozman: Q4) evil-you can always find the numbers to prove whatever we want. Done all too often #Lrnchat
09:34:38 pm LnDDave: RT @JaneBozarth: “manipulation is compelling” #lrnchat
09:34:55 pm LnDDave: RT @JaneBozarth: Promise of connecting threads that aren’t really connected. #lrnchat
09:35:05 pm LnDDave: RT @JaneBozarth: Q4 so much talk lately about what’s being gathered but not how put to use #lrnchat
09:35:12 pm trainersleaders: RT @LnDDave Q4) “I am more than just my data stream” #lrnchat
09:35:15 pm EdutainmentM: #lrnchat #sdle Q4) Data + Context = Meaning
09:35:34 pm JaneBozarth: Target can predict customer pregnancies,due dates http://t.co/oRZeKnF3 #lrnchat
09:35:34 pm dvdlindenberg: RT @LnDDave: RT @reubentozman: Q4) evil-you can always find the numbers to prove whatever we want. Done all too often #lrnchat
09:36:14 pm LnDDave: @reubentozman I think the point is that much of the new data is self-generated, and therefore subjective. How does that factor in? #lrnchat
09:36:28 pm EdutainmentM: “@kellygarber: Q4 – If I had to pick the data to trust, I would trust self reported – you can’t get more intimate than that. #lrnchat”->me 2
09:36:29 pm JD_Dillon: RT @EdutainmentM: #lrnchat #sdle Q4) Data + Context = Meaning #lrnchat
09:36:29 pm reubentozman: Q4) evil – using test scores as THE measurement of “learning” #Lrnchat
09:36:54 pm JaneBozarth: Target’s customer data collection items http://t.co/dXrby3nI #lrnchat
09:37:11 pm EdutainmentM: RT @reubentozman: Q4) evil – using test scores as THE measurement of “learning” #Lrnchat
09:37:12 pm kelly_smith01: RT @JaneBozarth: Target’s customer data collection items http://t.co/gkXw7eAm #lrnchat
09:37:23 pm reubentozman: @LnDDave Trends….if everyone is self reporting the same thing….builds connections. #Lrnchat
09:37:24 pm JaneBozarth: Q4 concerns about who has access to data #lrnchat
09:38:22 pm TheAirton: @JaneBozarth I have my own theories about # of Starbucks + Whole + bike shop = Safety of neighborhood #Lrnchat
09:38:25 pm JaneBozarth: Why is using test score as measure of performance ‘evil’, when self report of “i learned instructional design today’ awesome? #lrnchat
09:39:12 pm kellygarber: RT @reubentozman: @LnDDave Trends….if everyone is self reporting the same thing….builds connections. #lrnchat
09:39:23 pm dvdlindenberg: Q4) @LnDDave How does all this big data talk mesh with content curation? Question forming in my brain – just can’t get it out. #lrnchat
09:39:24 pm JaneBozarth: @TheAirton sounds like a good theory #lrnchat
09:40:09 pm reubentozman: @JaneBozarth Who said self report of blah blah blah awesome? #Lrnchat
09:40:23 pm reubentozman: RT @JaneBozarth: Q4 concerns about who has access to data #Lrnchat
09:40:29 pm JaneBozarth: Self reporting: many opps here for that to backfire, mgmt to use data against people. #lrnchat
09:40:32 pm lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:40:38 pm JD_Dillon: @TheAirton i continue to leverage this concept at least once a week. #lrnchat
09:40:53 pm EdutainmentM: RT @reubentozman: @LnDDave Trends….if everyone is self reporting the same thing….builds connections. #Lrnchat
09:41:02 pm JaneBozarth: RT @lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:41:04 pm JD_Dillon: RT @lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:41:15 pm kelly_smith01: RT @lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:41:29 pm JaneBozarth: Q5 my org had a good data narrator/interpreter who’s retiring. Will be a big loss. #lrnchat
09:41:37 pm dvdlindenberg: RT @lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:41:50 pm LnDDave: @dvdlindenberg more data in theory should make filtering down to exact needs easier, in theory. #lrnchat
09:42:06 pm LnDDave: RT @reubentozman: RT @JaneBozarth: Q4 concerns about who has access to data #Lrnchat
09:42:07 pm EdutainmentM: RT @lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:42:13 pm LnDDave: RT @lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:42:15 pm JD_Dillon: A5) Simple: nope. We have to improve analysis, find meaning, and develop our ability to tell stories, not print reports. #lrnchat
09:42:50 pm JD_Dillon: A5) Metrics are only part of the story, often the user experience isn’t fully represented. #lrnchat
09:42:52 pm reubentozman: Q5) I think reaching out to the communities of practice that work primarily with data can help us alot #Lrnchat
09:42:54 pm kelly_smith01: Q5) Critical to match to story to the data – they should not simply justify the other. #lrnchat
09:43:00 pm JaneBozarth: RT @JD_Dillon: A5) We have to improve analysis, find meaning, and develop our ability to tell stories, not print reports. #lrnchat
09:43:10 pm debwhite: RT @JD_Dillon: A2) We need data from what takes place before, during, AND after any learning intervention to understand impact. #lrnchat
09:43:19 pm Carol_LPM: q5. Analysis is something people do. We do well when we analyze. We lose when we simply run reports.
#lrnchat
09:43:23 pm JaneBozarth: RT @kelly_smith01: Q5) Critical to match to story to the data – they should not simply justify the other. #lrnchat
09:43:27 pm kelly_smith01: RT @JD_Dillon: A5) Metrics are only part of the story, often the user experience isn’t fully represented. #lrnchat
09:44:20 pm kellygarber: @JaneBozarth they learned something. instructional design is their perception. Ask specific questions to realize what they learned #lrnchat
09:44:39 pm JaneBozarth: RT @JD_Dillon: A5) Metrics are only part of the story, often the user experience isnt fully represented. #lrnchat
09:44:58 pm kelly_smith01: Q5) Don’t create a report which refers to table Table A or Histogram B – should be self evident. #lrnchat
09:45:29 pm dvdlindenberg: Q5) Collaborate. If the analyst can see the story in data, but can’t convey, collab w.ID, writer, etc that can tell the story #lrnchat
09:45:45 pm reubentozman: RT @debwhite: RT @JD_Dillon: A2) We need data from what takes place before, during, AND after any learning intervention…. #Lrnchat
09:45:55 pm JD_Dillon: A5) It’s not just about creating the story. How do we best deliver the story to stakeholders so that we get their attention? #lrnchat
09:46:12 pm JaneBozarth: This is fun. #lrnchat
09:46:29 pm LnDDave: Q5) We need to look at data differently. Instead of end points, look at trends that tell stories. #lrnchat
09:46:35 pm JD_Dillon: A5) Can we help stakeholders create the story too, find their own meaning in data? #lrnchat
09:46:58 pm kelly_smith01: RT @LnDDave: Q5) We need to look at data differently. Instead of end points, look at trends that tell stories. #lrnchat
09:47:11 pm JaneBozarth: @LnDDave yes — focus on story,not endpoint. #lrnchat
09:47:17 pm reubentozman: @JaneBozarth You’re trending “fun”
#Lrnchat
09:47:25 pm trainersleaders: RT @JD_Dillon A5) We have to improve [data]analysis, find meaning, and develop our ability to tell stories, not print reports. #lrnchat
09:47:38 pm LnDDave: RT @JaneBozarth: This is fun. #lrnchat
09:47:46 pm JD_Dillon: A5) Recognize that the story likely isn’t complete. The data may only reveal acts 1 and 2. Analysis will reveal the path to act 3. #lrnchat
09:47:50 pm kelly_smith01: RT @JaneBozarth: @LnDDave yes — focus on story,not endpoint. #lrnchat
09:47:52 pm dvdlindenberg: RT @LnDDave: Q5) We need to look at data differently. Instead of end points, look at trends that tell stories.>n tell the stories #lrnchat
09:49:01 pm trainersleaders: RT @JD_Dillon A5) Metrics are only part of the story, often the user experience isn’t fully represented. #lrnchat
09:49:27 pm kellygarber: Q5 – make data gathering perputual, data refreshes real time #lrnchat
09:49:57 pm JD_Dillon: A5) Don’t wait for a client to conduct analysis and start building a story. Use data to influence business owners. #lrnchat
09:50:09 pm kelly_smith01: RT @kellygarber: Q5 – make data gathering perputual, data refreshes real time #lrnchat
09:50:49 pm EdutainmentM: #lrnchat Q5) Here are our strengths, weaknesses, therefore here are the strategies the biz should pursue. #sdle
09:50:53 pm LnDDave: Q5) we could start by collecting data that is actually relevant. #lrnchat
09:51:04 pm kelly_smith01: There are 8 million stories in the naked enterprise. #lrnchat
09:51:05 pm dvdlindenberg: @lrnchat: Q5) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
09:51:23 pm JaneBozarth: was just about to say that RT @LnDDave: Q5) we could start by collecting data that is actually relevant. #lrnchat
09:51:51 pm JaneBozarth: Q5 Be careful not to focus on piling up ever-more data just because we can. What do we NEED? Where is the story? #lrnchat
09:52:22 pm lrnchat: QWrap) It’s that time again. Please re-introduce yourself. (Shameless plugs welcome.) #lrnchat
09:52:25 pm JaneBozarth: @LnDDave trend is now quantity over quality, isn’t it? #lrnchat
09:52:33 pm EdutainmentM: RT “@kellygarber: Q5 – make data gathering perpetual, data refreshes real time #lrnchat” ->also continue to tweak resulting action #sdle
09:53:02 pm JaneBozarth: RT @lrnchat: QWrap) Its that time again. Please re-introduce yourself. (Shameless plugs welcome.) #lrnchat
09:53:14 pm McGough3R: @lrnchat A5) I would suggest that we collect more narrative inquiry data…collect the stories! #lrnchat
09:54:05 pm JaneBozarth: @McGough3R YES! more narrative inquiry, more ethnography. #lrnchat
09:54:06 pm kelly_smith01: Qwrap) Kelly Smith, Management Dev Coordinator, Plano TX #lrnchat
09:54:25 pm JaneBozarth: REAL case of REAL learning at work? See Orr’s “Talking About Machines”. #lrnchat
09:54:31 pm reubentozman: Good night all. Here’s an article I wrote for #astd a while back on analytics http://t.co/B8AlO8WO #Lrnchat
09:54:37 pm EdutainmentM: #lrnchat QWrap) Cheryl Lasse, Edutainment Media, firm believer that data can drive the right action -> e.g., training demand planning #sdle
09:54:48 pm meganbowe: RT @LnDDave: Q5) we could start by collecting data that is actually relevant. #lrnchat // and that actually relates to intended outcomes🙂
09:54:53 pm McGough3R: @cybraryman1 Have you ever seen the science app. Project Noah? #R3PLC #lrnchat
09:55:04 pm trainersleaders: Wrap-up: Paul Signorelli; San Francisco-based writer-trainer-consultant; recently wrote http://t.co/4Tls8PXW for #ASTD #lrnchat
09:55:16 pm JD_Dillon: QWrap) JD from Orlando, enjoyed our story about data’s place in L&D, back to building wiki pages all night. Later, all!🙂 #lrnchat
09:55:25 pm kelly_smith01: Don’t forget pictures with arrows and circles and descriptions on the back. #lrnchat
09:55:33 pm JaneBozarth: Jane, Raleigh, bad bureaucrat, likes learnin’ stuff. Buy my books and I’ll share the sales data with you lol. #lrnchat
09:55:46 pm dvdlindenberg: QWrap) David Lindenberg, ID, Rocky Mount, NC – Thanks for the great lrnchat! #lrnchat
09:56:02 pm reubentozman: Qwrap) Reuben Tozman. Book coming up in October on Learning OnDemand #Lrnchat
09:56:24 pm JaneBozarth: That was fun y’all. Thanks. Always up for ideas for topics about LEARNing (not just training, instruction, etc.) #lrnchat
09:56:36 pm JaneBozarth: RT @kelly_smith01: Dont forget pictures with arrows and circles and descriptions on the back. #lrnchat
09:56:48 pm NudgeVillage: RT @reubentozman: Good night all. Here’s an article I wrote for #astd a while back on analytics http://t.co/B8AlO8WO #Lrnchat
09:57:06 pm kellygarber: Qwrap) Kelly Garber, freelance ID, Florida. …the data made me do it #lrnchat
09:57:44 pm LnDDave: RT @reubentozman: Good night all. Here’s an article I wrote for #astd a while back on analytics http://t.co/B8AlO8WO #Lrnchat
09:58:09 pm LnDDave: RT @JaneBozarth: That was fun y’all. Thanks. Always up for ideas for topics about LEARNing (not just training, instruction, etc.) #lrnchat
09:59:01 pm LnDDave: QWrap) Thanks for another great #lrnchat. David Kelly from NY. See you all next week!
09:59:28 pm lrnchat: Goodnight everyone. See you next week, July 26, 8:30pm EST / 5:30pm PST. #lrnchat
09:59:46 pm kellygarber: RT @trainersleaders Paul Signorelli; San Francisco-based writer-trainer-consultant; recently wrote http://t.co/oT8AkcQE for #ASTD #lrnchat
10:00:09 pm kellygarber: RT @reubentozman: Good night all. Heres an article I wrote for #astd a while back on analytics http://t.co/RttQohQV #lrnchat

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