- Digital architecture looks great
- Glad we thought through APIs and tech
- Process model is spot on. It’s not overly complicated but tells the whole story (current state and the innovation state)
- Maybe talk a little about the current state and point out the pain points for the customer
- Thinking through data flow and data plan (what you’ll collect on the back end) is really thoughtful. That’s a tremendous addition to the whole digital architecture
- Tableau: couldn’t quite understand the difference in colors and on slide 16-17, there’s a big white column that looks like it’s missing
- What’s going on with the data?
- Dan M: different colors need to be clearer. The data we currently have from industry report projecting to 2025, and the different color is the projection
- From Amy: it’s not in the notes, she kept getting lost
- After clarifying: Amy thinks it’s cool, just convey that message to the viewer, to see the trend upward
- Not sure what’s going on with the blank column, must be an error.
- On slide 15 with our data from LinkedIn, note that we ran that survey
- Connect the data points from slide 15 with 16 & 17
- Think about some other data points that might be good to include
- Competitive analysis beautifully done – check that box and put it in the presentation
- Agree on comp analysis – informative and instructive
- Visualizations, once explained, look good.
- Question: slide 16 – see correlation with online greeting card market. Slide 17 – per capita disposable income. These are good analyses – is this the right data to show to convince her, an investor, that this is a compelling market with growth where they can see ROI? Is there another data set that we have that we can run a similar analysis that might be more compelling?
- For example: 45M people wish happy birthday on FB, 75% prefer physical cards – this is a black and white, compelling stat. the market data we show is well modeled. But it shows the market is flat-lining a bit.
- Find other data sets that align more with making a compelling argument
- Is there something here in the headline you can add that might make the visualizations more compelling?
- From Dan M: slide 15 is good contrasting points, but not clear on 16 or 17. With data we have, here is what people are buying online as far as online greeting cards go. Maybe another data set says people prefer X amount of physical items, keep the compare and contrast story threaded.
- Other things to show: the amount of mobile broadband connections.
- From Amy: what about more around personalized things? And that’s why there’s an opportunity? Maybe look at Etsy sales, since it’s so personalized. Value in stats around tangible, personalized options? 6,000 people a day buy signs for their door with their name on it.
- What about the growth of personalized gifts market?
- That could work as support, if it’s something you could easily find.
- The market for personalization
- X amount of people customize nike shoes every year (personalization focus)
- In the absence of a data set, look for things that are similar.
- We’re on track
- Digital analysis and tech is beautiful
- Competitive analysis is a beautiful slide
- You’re chipping away at the final presentation
- Data is on the way there but there are some ways to improve and tie it all together
What is that feeling when you miss a birthday? When you want to remember, or you don’t remember something important?
We’re trying to get at a behavior change. Be that thoughtful person.
Greg mentioned we had too many personas (a snapshot of 4) – we didn’t say who we were primarily targeting, just listed viable personas.
- Side note: Earlier data from brand audience deliverables should be in the data deliverables we just submitted
- Becca: when it comes to building a new product, it’s important to get laser focused about your first segment, to help you as you start on this journey
- Make the most use out of the budget you have
- Start with one, continue moving out to other
- Might be useful to zero in on one or two of these
- But having four doesn’t strike Becca is too many
- Early on, we’re going to start with this segment(s) bc XYZ reason. As we develop, we’ll introduce these other two
- Amy agrees
- Becca likes the personas
Two diff competitive analyses: one on tech, one more overall. For now, keep both. We can try to combine them? Think about differences between the two. Tech comp analysis only compares with our “Primary” competitors.
Value in having both. Put one foot forward and have one waiting in the appendix. Nod to the one in the appendix in the presentation.
From Debbie – on Slide 12 – idea of future tech growth, should be in a timeline. Should we go that route? Putting years or months on it. – yes, do that.