Who doesn’t love a good quiz? Whether it’s for finding out what kind of entrepreneur you are or what kind of food you are, we love to learn more about ourselves! As a quiz creator, I have an objective for my quizzes. I wanted to create a quiz that I thought would be fun and help create some engagement and start to create some awareness for my brand. But first…
I looked through different websites with quiz topics (including the ones on the interact Live Examples page and looked at the type of games and quizzes my Facebook friends were playing. With the resurgence of clothes that look like they are from prior decades (oh hey, high waisted pants), I kept having this call to do something around being from a particular decade. So I went with it! Time applies to everyone and wouldn’t it be fun if people shared their decade?!?
To Template or Not to Template
I considered using a template which would make it super easy and fast for me to get started, but to be candid, I love creating my own and it’s quite easy to do!
Building the Quiz
First up, is the cover page. I made the title short and selected an image that relates to time.
I was playing around with different colors and chose this purple-blue color for the button since that deeper color is nice contrast to colors in the image. I really appreciate that I’m not bound by default colors or fonts.
From there, I started building an assessment quiz. I wanted to keep it to about seven or so questions, so that people didn’t feel like it took a long time to complete. You know when you take those quizzes or click on that enticing headline and it takes too long to get to the point? I
wanted to avoid that.
In this case, I knew what my results were going to be. Since I could have up to four results, I picked that people could love the 70s-00s. So as I built the questions, I correlated the answers to the results (I think this is an awesome feature). As I developed the questions, I researched the information about the question to make sure the answers were accurate.
Check out one of my favorite questions in the image below.
As I was researching a 90s food, I learned that Dunkaroos are in high demand in the US because they’ve been discontinued (I also learned that you can pair funfetti frosting dip and Teddy Graham crackers to make your own version of Dunkaroos. For all my Dunkaroos fans, you’re welcome for that tip). I mentioned that you can correlate answers which is super helpful. For the favorite food, here’s what the correlation looks like:
I included an image that represented the decade and had a call to action button on the results page in case anyone wanted to learn more about how to get a quiz like this for themselves. Because my objective was only awareness, my messaging around the call to action was more FYI than take action now!
When someone opted in to get their results, behind the scenes, I’m able to integrate their email with MailChimp and because I had set up a tag for my leads, they are all tagged so I can tailor my content to them so they get relevant information!
For this particular quiz, I only shared it on Facebook and Instagram as I’m in the process of making changes to the website and I wanted quiz goers to have a really great experience. As an aside, I have put other quizzes on my website and I’ve found it super easy to embed or add as a pop up in my website. I love that it's just a few clicks to get it from Interact to my site.
Engagement Analysis and Results
I wanted to create a quiz for brand awareness and engagement and I achieved my goal. For transparency, I spent $68.27 in Facebook ad money to ensure that people saw the quiz. Putting ad money behind a quiz is always a good thing. We need eyes on the post to help get people to interact with it. My ad reached 4,214 people, which is way better than my new Facebook page would have been able to do on its own. There were 4,374 looks at the post (meaning, it reached some people and then they looked at it more than once). But the best part, is that the cost per engagement was only 10 cents per post engagement! That’s above average!
While my objective wasn’t really to get leads, I did set up the quiz to capture leads, because I also wanted to measure the cost per lead. So you might be wondering, as I did, how much did my leads cost me? Well, the numbers are in and each email cost me $1.43. Having that under the average of $2 (for all industries), I’m pretty pleased with this initial result.
Being someone who helps others by using analytics, I love the analytics funnel within the interact website. As you can see in just one week, 621 people viewed my quiz and 419 started it. My completions aren’t as high as what I’d like, but because I can go in and see the drop off, I’ll be able to determine where people dropped off and if I want to continue this quiz, I now know where to make changes. On the positive side, everyone who completed the quiz opted-in to get the results.
If I reflect on what I could have done differently to make this an even better quiz, one of the things that pops out at me is that I would have changed the cover image. While it’s fine for the quiz, for Facebook, it was below average quality because of the numbers (the text) in the ad. Given that I had still had above average engagement, I’m pretty happy with it, but imagine what it could have been like if the image was average or above average!!
I love quizzes for so many reasons, but mainly because I think they can apply to any industry. While my quiz was totally fun, quizzes can be built to meet anyone’s needs and they can be a great way to connect to your community and make you stand out!
Want to create a quiz? Check out this post on Interact for making an interactive quiz!
Note: This post contains an affiliate link if you purchase a subscription plan to Interact.
I've recently started doing some mini-training sessions as a way to provide value to my community. What I love about these trainings are that they are super short...five minutes or less. I'm not diving in detail to each topic, but rather, providing a really good overview so that the audience has a good baseline knowledge in a short amount of time and then dig in to each topic as time or resources allow.
I love helping others get the skills they need because I truly believe that we learn more, we have the potential to earn more. A couple of years ago, I coined this phrase, "Get the skills, show up, and go up." And I think it's so true. When we have the skills, whether it's on how to price products, how to engage on social media, or understanding what non-financial things you need to track as an entrepreneur.
Plus, I believe that when we obtain new skills, we obtain additional confidence, especially when dealing with subjects we don't have a lot of experience in.
How to get these mini-training sessions
Subscribers will always get the first look at mini-training sessions and after awhile, they'll be publicly available on my site. Simply sign-up to get the mini-training sessions and you'll be cued up the next time one is released.
How can I request training?
I'm more than happy to provide mini-trainings, webinars, and courses on anything I have knowledge of. Feel free to request a topic by sending me an email or commenting and if it makes sense (I have the subject knowledge), I'll record a mini-training.
On March 1, 2018, I had the opportunity to attend and present at the inaugural Women in Data+Science Conference at Saint Leo University.
Here's the TL; DR version
There are two indicators of a great multi-track conference;
WiD+S at Saint Leo's hit both of those points. The conference was so good that I told the organizers, they would likely have two types of feedback; everything is great or it would be really great if you could provide coffee (this makes any conference A++).
I'll share my takeaways from the day.
My Top Takeaways
1. We need to continue to raise awarness of STEM to girls and minorities at the elementary and middle school level. Get them interested in early and get them engaged since they seem to fall off in college and in the workplace. This validated what we are doing with DC Data+Women and what I'm doing with Pretty Strong Smart, and it makes me happy to know I'm on the right path.
2. Role modeling is important. When we can't see ourselves in the picture of what someone with a STEM job looks like, we're less likely to believe it. I've experienced this even with my daughter who didn't think women could be Presidents because the US doesn't have one. It was a teaching moment, but how would I have expected her (at age 6) to believe otherwise?
3. Culture and community are important. We need to have a supportive environment that we can flourish in. We had some really good discussions about STEM and Cyber programs at HBCUs and why they are necessary. This also reminds me of a talk I heard by Dr. Johnny Lake that essentially said, when the world is telling/showing you that you don't belong, it's important to have that person (that community) in your corner to say that you're smart, etc. We have a need to belong to something, so building a supportive community is super important.
4. Own your work, your youness. This was actually a blend from two sessions. In one session with Dr. Holly Adkins, she described how she was challenged on her approach for her disseration. One of the takeaways from Dr. Adkins session was this quote from Dr. Pat Jones to Holly Adkins.
Maybe she wants to see if you’ll stand up and advocate for your work.
Whoa! Two thoughts run through my head; how many times are people looking to see if we will stand up for what we believe in? and Do we expect the same for men? This question was in the context of a disseration, so it may have been well within the norms to make a statement like this. Since I'm not a doctoral candidate (though Dr. Emily Kund has a nice ring to it), I applied the quote to everyday life.
The second part of this takeaway is something I thought about in Dr. Moneque Walker-Pickett's speak up session.
Own your youness. What does that even mean? In her session about speaking up in the classroom or workplace, I agreed with so much of what Dr. Walker-Pickett said. Though one thing has stuck in my craw (as the saying goes). It was tip #2:
Keep an Even Keel. Be passionate but not too passionate. Passion = emotional
I feel like that's a bit like saying, "Change who you are so that coworkers won't get their egos hurt." Obviously, everyone needs to be professional. Busting into tears is not professional. Neither is cursing someone out. But what's interesting is that I've seen men be passionate in the workplace and it's been fine. I've seen women be passionate in the workplace and it's too emotional and not fine.
This brings me to my last takeway from the keynote, Excellence is Genderles by Sarah Mobley.
5. Change the perception, not the standard. As Sarah was going through the accomodations to the standards, it reminded me of when Tableau and the community were considering changes to the Iron Viz process. I wondered, were the changes comtemplated and made helping women (and others) or did they change the standard? (Note: I don't know the answer to this and I'm not suggesting the standard changed, it's merely a thought).
During Dr. Walker-Pickett's speak up session, I mentioned that I was in a work scenario one time where I talked and acted like the other members of the leadership team (my peers who are guys) and yet, I wasn't treated the same. Don't you know, it's not ladylike to curse? Sarah was in the session and said something to the effect of "You shouldn't change who you are for others." So as I thought about the 'don't be too passionate (emotional)', it felt like changing the standard--who I am for others--to accomodate them versus having them shift to accept me (when I acted just like them).
The Other Stuff
There was swag (which was great), there was lunch (which was nice), and it was a decent location (about an hour outside of Tampa) and the campus was absolutely gorgeous, which made me happy. There seemed to be a lot of academics and that would normally trigger my 'am I good enough to contribute' internal monologue, however, I felt very welcomed. There was also time to meet and chat with people (especially over an extended lunch), which was great and I definitely want to keep in touch with my Tampa people.
I would love to go back next year and hope to see you there!
I've had the great fortune to attend my 8th domestic and 9th overall Tableau Conference (TC) and one of thoughts that top of mind, is wow! I feel as energized and in love with the Tableau community this conference as I did in 2013. For those you doing math, my 2011 an 2012 conferences (Vegas and San Diego) felt overwhelming; 2013 felt new since I started to meet people in the community that year.
I am trying to make this saying go viral, because I think that's how we should learn. It should be fun to learn and it actually is at TC! My learning opportunities this year came in the form of podcast discussions, keynotes, and a couple of sessions. But before we get to that, the conference kick-off was amazing!! I marched in a parade to celebrate the beginning of conference! Matt Francis and I hosted The Vizzies. These are awards that we give out to Tableau community members that are voted on my the community. We held them during the welcome reception and it was so fun...one might say it was informative fun!
This is the first year I attended the US conference with podcasting as my number one job, so podcast we did. We recorded a record 12 episodes with informative and fun conversations with people like the Makeover Monday team, Andy Kriebel and Eva Murray, to Keisha Rose (developer at Tableau) feat. Paul Banoub to Elissa Fink (CMO of Tableau) and Adam Selipsky (Pres/CEO of Tableau).
New to conference this year was Brain Dates mentoring. It was in a fun and relaxed atmosphere where people could sign up to learn more and have engaging conversations about almost anything. What I love is that people got connected that might have otherwise not been and learned along the way! I was able to participate in one about Data+Women, which also renewed some of my energy for helping others get started with organizing one.
I had the opportunity to sit in on Paul Banoub's session about building a Center of Excellence (COE) and it was excellent!! What I loved most is that Paul took us through this COE journey that firms of any size could relate to. I think it helped frame up COE goals for a lot of people in the room. And what's even more amazing is that Paul's team is quite small and yet, is best in class.
I also sat in on part of the data+women session. I thought it was well-done and I really enjoyed the thought-provoking content presented by Anya A'Hearn. Especially in podcasting, where communicating information is the point, it made me think about how I might have some implicit bias (everyone tends to) and how I can make sure I self-correct. The easiest example is one when introducing guests on the show. Do we only give men the intro of accomplishments? I know there are cases where it's happened, but hopefully it's not the norm for me. However, the whole point (to me) of Anya's presentation was to raise awareness and self-monitor.
Finally, in the informative fun category, we have Fanalytics. Last year was the first year where it was less about vizzing a data set and more about discussions that impact the Tableau Public community. This year, attendees discussed topics such as improving Iron Viz feeders, mentoring, and data culture (just to name a few).
I sat in on the data culture discussion because that's part of how I want to help organizations. The observation that stood out to me is that about half the table did not feel empowered to help create a good data culture in their organization. How sad!! Ideas like viz games (Iron Viz, for example) was met with hesitation. As a result, I put a call to action out there in my LinkedIn weekly leadership in data tip to help employees feel empowered to take action. I strongly believe in individuals taking actions and can usually find a way to work within or around the environment. Your organization isn't keen on a viz contest? Do it at lunch! No one can help organize a proper internal Tableau user group meeting? Meet up during a Friday at lunch or after work for a happy hour to chat all things data viz and Tableau. Before going too far down the rabbit hole, the data culture discussion, which was facilitated at our table by Fi Gordon (and topic leader, Sarah Burnett), really lit me up. I could have stayed for another hour just helping people dig in, get lit up, and ready to action.
I'll be the first to admit that I wasn't sure what we were going to get with Adam Grant as a keynote speaker on the last day (after Data Night Out). For those who missed his talk, wow! You really missed something. Adam's talk was so good! He is an organizational change psychologist and Professor at the Wharton School of Business.
1. Weed out the takers in a community/group/organization.
2. Create psychological safety.
3. Encourage help-seeking.
4. Make the unfamiliar, familiar (and master repetition).
5. Put your worst foot forward (address the concerns first).
6. Set boundaries on time. Chunk out time to avoid distractions.
Adam shared such valuable information, but then he shared the results of a Tableau community survey on who the top givers in the community are...and my name was on the slide. I had this feeling of immense gratitude, that people recognized and saw value in my contributions to the community. As one of my friends put it, "Now you know what it's like winning a Vizzie."
While I had some informative fun, it would not have been as fun without my crew. These folks help make me better and are super supportive, especially as I have transitioned into entrepreneur life. I am so thankful that I have surrounded myself with such amazingly smart, funny, and caring people. A few people I want to call out specifically from the Tableau community:
I'm looking forward to continuing my contributions in the Tableau community and applying these learnings to grow myself and my skills to help others.
The best reason to use visual analytics is that the picture can tell data's story. It can uncover relationships between data and help show outliers that might otherwise be difficult to see. However, a visual may not be enough, depending on the reader. Adding a little text can help in understanding the message.
Take this visualization for example.
We clearly see there was a downturn in sales, which makes the reader curious about why it happened. The visualization though, does not give the answer.
However, if I add one sentence about a change in the pricing model, we can immediately understand why, at least at a surface level.
I think we've all been in business settings where we are handed a graph and asked, "What is this telling us?" And I'm sure we've all have had that momentary thought of "I don't have a clue."
Why make our readers work harder than what they need to?
Unless a visualization is exploratory, the real work should come in at the decision-making process.
To help the reader get to the conclusion/decision quicker, the following types of annotation can help.
Care should be taken to avoid over-annotating. The best way to avoid that is to ask, "Do we really need that additional information?" In the above example, there be opportunity to remove an annotation, which should discussed in the vetting session.
To read more about the making of this annotated line graph, click here.
Recently, I've been doing some practice with chart types I haven't used in awhile, so when I saw Cole Knaflic's Storytelling with Data Challenge this month, I decided to give it a go. The challenge for June was to create a slopegraph. While the data I have been working with recently hasn't been suited for a slopegraph, I do think they are a nice way to see the difference.
Here's my original table of data that I made up.
If my goal is to figure out which jewelry division increased the most or had a negative change, I need to do calculations in my head to get the answer I'm looking for. That takes precious time that could be spent making the decision or implementing actions.
This data is perfectly suited for the a slopegraph because I'm measuring two periods, so I should be able to see the change clearly.
Here are two versions of this data visualization, one with only the visualization and one with a small amount of text to inform the reader about a decision on where to focus.
I can now clearly see:
A little narrative can go a long way in facilitating or communicating decisions.
For this example, I used Tableau software and have provided the completely fictional data below if you would like to use it.
I recently had the great fortune to moderate a panel with some amazing people for the DC Data+Women meetup. If you are in the DC area and want to check out the meetup, you can learn more information here.
For this quarter's meetup, we held a recruitment panel discussion followed by speed mentoring and networking. Our panel included Ann K. Emery, Eric Duell, Executive Director of Applied Analytics, Comcast Communications; Emily Vose, Deloitte Consulting, and Meghan Marie Fowler-Finn, of DDOT. The focus of the panel was on recruitment, interviewing, and career transition advice. The panelists delivered great insight and was very generous with their time in talking with attendees afterwards.
There was such good interaction from the attendees and the panelists at this event. Though the panel lasted about one hour, it could have definitely gone on for another 30 or 60 minutes!
I hope these takeaways were useful. If you have any questions, are interested in participating in the next data+women meet ups, or would like a moderator or speaker for an internal workshop on recruitment in the data field, you can contact me at firstname.lastname@example.org.
Whether it's through talking with a friend or seeing trending items on social media, visual analytics is becoming a part of how we conduct business. But what is it exactly? My concise definition is as follows:
Visual analytics leverages automated analytical techniques to create interactive visualizations in order to make well-informed decisions.
Data visualization is a big part of the visual analytics process, but it's only one piece. A visualization isn't meaningful if it's not being used to inform or make decisions, which is the second part of the definition above.
People at all levels of business are using visual analytics to carry out their responsibilities. Data visualizations are helpful in measuring performance and identifying outliers. Because the data is shown visually, using patterns and pre-attentive attributes, the reader can quickly see the the information being displayed. Whether it's exploring the data or having a report available, quicker insights should translate into quicker decisions, which in turn facilitates timely business transactions.
At Analytics to Inform, we believe in empowering executives with information to make well-informed decisions. Explore our services page to see which service can help your business.
Helping people learn more and earn more money and do more good in our communities through the use of business strategies, tools, and analytics. Also a fan of my kids, cupcakes, and fitness.