This month we invited local startup xlabs to share their MVP story. After considerable time in the R&D stage & working with 1st adopter customers, Joe Hanna (https://au.linkedin.com/in/joehanna) and Steve Roberts (https://au.linkedin.com/in/mbudm) are looking to get their product into the market & continue working with an MVP mindset. xlabs are keen to share their experience, curious about how to keep focused on the launch & interested in hearing feedback from the product management & UX community. With a unique technical ability, xlabs, provides valuable UX data via continuous real time tracking of eye & head movements using only a webcam instead of complex technical equipment. You can check out what xlabs (http://xlabsgaze.com/about/) are all about before the event via their Chrome extension or Developer SDK (http://xlabsgaze.com/download/)
6. Viewers Today: 138
Avg. View Time: 17.4 secs
MARKET OPPORTUNITIES
User Experience Research
Analytics
Human Computer Interfaces
Gaming
Advertising
Education & Training
Medical
Military & Defence
7. FIRST MARKET: UX RESEARCH
API
Gaming
$93 Billion
Medical
Advertising
$101.5 Billion
USD
Education
&
Training
User
Experience
Research
$40+ Billion
USD
Human
Computer
Interfaces
Oculus sold for
$2B USD
2014
Analytics
Advertising
Effectiveness
Engagement
Research
Training
Interactive
Kiosks
Pay per
View
MOOC
$56 Billion
Specialist
Eg. Military,
Pilot
Early
Learning
Diagnosis
Assistive
Learning
11. PRICING LANDSCAPE
Min: $19,000 pa
Avg : $36,000 pa
$350 per project
$1,900 - $9,900 pa
Basic: $49/video
Pro: $3,000 - $30,000 pa
Panel Recruitment
$49- $299 +/month
$20 /participant / study
Moderated testing
software $2,500/pc
$12,500 / 25 ppl / Study
Basic: $9pm/10 pages/10K visits
Pro:$99pm/100 pages/250K visits Hardware: $495
UX software: $1,495
Hardware: $99
SaaS: $99/month Beta
more
$99 - $290/month
$14 - $149/month
1 video – 3 videos/week
$0 - $200/month
5 second test
$39 (6) /$69 (8) /$99 (12)
(Feedback participants)
$49/video or $249/5 vids
Free – community
based
Call for quote
(Est $800/250K Ubs) $59/month 10,000 Ub
$875/month 300K Ub
$14 - $149/month
1 video – 3 videos/week
$109/Month or $149/survey
3 products avail. Price is ea
$99 - $499/month (video)
$299 - $2,500/month
Quoted per study
12. BUSINESS MODEL
Flexible pricing and partnership options:
Ongoing or one off:
• Freemium model
• Sliding scale monthly
subs
• + once off and
enterprise packages
Channel partnership:
• Fixed fee package and
revenue share options
• Targeted to digital
agencies, UX providers,
Research firms and
similar
Tiered Subscription White labeled
Full control:
• Commercial SDK license
• Targeted at online UX,
analytics, click tracking etc
eg (Google Analytics,
usertesting.com, crazy egg)
SDK license
For years, identifying what people are looking at on screen required either expensive dedicated hardware or software that places unrealistic restrictions over users head movement.
This has prevented mass scale adoption of the technology and seen eye tracking relegated to a number of niche use cases predominantly in labs. (For things like user testing and specialist medical devices)
we founded xLabs with a clear goal to make mass scale eye tracking technology accessible to everyone as part of our vision
to make the way we all communicate with computers a more human experience.
xLabs has developed revolutionary technology that delivers eye, gaze and face tracking via webcam. No hardware, just software that securely analyses the video stream coming from your existing webcam without restricting your natural head movement.
Now I ask you to imagine new possibilities across a range of industries that could be achieved through the use of this technology… . from as simple as reporting engagement with an digital outdoor display through to using your head and eyes to navigate in a fully immersive first person shooter video game.
I wouldn't use the bubble slide here. Instead keep the eye tracking video going which then changes to display metrics then game interaction.
interesting... we dont currently have a complication video as yet.. but it could work well
With so many opportunities picking the right place to start is important.
We started by releasing an SDK after over 2 years of R&D to private beta, where we invited developers within select industries to explore the capabilities of our tech and are continuing to actively work with a number of these partners.
But we arent simply waiting for partners to determine real world uses of our tech
Now I ask you to imagine new possibilities across a range of industries that could be achieved through the use of this technology… . from as simple as reporting engagement with an digital outdoor display through to using your head and eyes to navigate in a fully immersive first person shooter video game.
I wouldn't use the bubble slide here. Instead keep the eye tracking video going which then changes to display metrics then game interaction.
interesting... we dont currently have a complication video as yet.. but it could work well
With so many opportunities picking the right place to start is important.
We started by releasing an SDK after over 2 years of R&D to private beta, where we invited developers within select industries to explore the capabilities of our tech and are continuing to actively work with a number of these partners.
But we arent simply waiting for partners to determine real world uses of our tech
xLabs has developed revolutionary technology that delivers eye, gaze and face tracking via webcam. No hardware, just software that securely analyses the video stream coming from your existing webcam without restricting your natural head movement.
xLabs has developed revolutionary technology that delivers eye, gaze and face tracking via webcam. No hardware, just software that securely analyses the video stream coming from your existing webcam without restricting your natural head movement.
For years, identifying what people are looking at on screen required either expensive dedicated hardware or software that places unrealistic restrictions over users head movement.
This has prevented mass scale adoption of the technology and seen eye tracking relegated to a number of niche use cases predominantly in labs. (For things like user testing and specialist medical devices)