Session 6 :: Disruptive Innovation

15 mins: Few resources to look at:

15 mins:

  • 2 minutes :: regroup where your group was in last class.
  • 5 minutes :: Step 3 recap of group insights (60 second updates from each group).
  • 5 minutes :: Step 4 discussion who do you think was the intended audience for Masdar City?

Roles: (a) Debrief Scribe, (b) Facilitator, (c) Sketcher, (d) Synthesizer.

15 mins: Discuss OLI page 15 “Futures are here”

What is disruptive innovation?

In depth video of Clayton Christensen on disruption in financial sector  (watch at home)

20 mins: Discuss 4 block chain scenarios (2×2 matrix) (a) blockchain (succeeds or fails) (b) existing players (adopt or ignore).

  • Scenario 1. Blockchain is very successful but the existing players ignore it. 
    (Ask yourself: what might blockchain based products have that traditional ones do not?)
  • Scenario 2. Blockchain is adopted by the existing players. 
    (Ask yourself: how might blockchain change how traditional players operate? What products or services would be necessary, what features would such designed products, services, or experiences require?
  • Scenario 3. Blockchain technology fails.
    (Ask yourself: What caused blockchain to fail, and why did the other players survive? What features/products/experiences/interactions did the established players undertake)
  • Scenario 4. Blockchain is very successful and legacy systems co-exist. 
    (Ask yourself: What markets do the blockchain enabled services/products/interactions/experiences cover and where do the traditional players focus? How are the products different?)

Link to blockchain discussion.

Homework (a) Weekly reflection, (b) OLI page 17 (Three generation personas) due before the next class.

Recap. We’ve explored why people are often surprised by events in the future. Peter Schwartz suggests some questions that we can wrestle with to reduce the likelihood of inevitable surprises. We practiced extracting the assumptions of worldview, maps, and mental models as they relate to the future. Clayton Christensen points out that data is about the past, but theory helps us to anticipate what might happen in the future where there is no data yet.

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