DISQO
APRIL 13, 2017
When we looked back on the 2,000+ experiments that product teams have run on Alpha, we noted some of the challenges that they first had to overcome. Conceptually, most teams already buy into the value of experimentation and user insights, so that part was relatively easy. For corporate product teams in particular, the primary difficulty was in setting aside the time to make experimentation a continuous process.
dscout People Nerds
APRIL 13, 2017
How to bring an iterative approach to your qualitative research projects.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
DISQO
APRIL 13, 2017
When we looked back on the 2,000+ experiments that product teams have run on Alpha, we noted some of the challenges that they first had to overcome. Conceptually, most teams already buy into the value of experimentation and user insights, so that part was relatively easy. For corporate product teams in particular, the primary difficulty was in setting aside the time to make experimentation a continuous process.
Mind the Product
APRIL 13, 2017
. I love asking people this question. It is quite a shocker that most people can’t really answer it. Everyone talks and writes about the importance of customer development, but companies still don’t spend enough time really talking to their customers. It’s a bit like data: you won’t find a single founder who doesn’t say: “Yeah! Analytics, metrics, definitely!
Advertisement
Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
DISQO
APRIL 13, 2017
When we looked back on the 2,000+ experiments that product teams have run on Alpha, we noted some of the challenges that they first had to overcome. Conceptually, most teams already buy into the value of experimentation and user insights, so that part was relatively easy. For corporate product teams in particular, the primary difficulty was in setting aside the time to make experimentation a continuous process.
Expert insights. Personalized for you.
56 
Let's personalize your content