ICE and PIE are popular frameworks used by marketing and product teams to objectively prioritize ideas and experiments. They help move away from "gut feeling" decisions and toward a structured, data-driven approach. ❄️ ICE Model (Impact, Confidence, Ease)
# state s[0..N-1] in [0,1]
for t in range(steps):
T = T0 + A * np.sin(omega*t + phase)
lap = np.roll(s,1) - 2*s + np.roll(s,-1)
ds = D * lap + alpha*(1-s)*(T<Tf) - beta*s*(T>Tf) + sigma*np.random.randn(N)
s += dt * ds
s = np.clip(s,0,1)
By embedding ice pie models into larger Earth system models (e.g., the Los Alamos Sea Ice Model, CICE), scientists have improved predictions of: ice pie models
Potential: How much improvement can be made on this specific page or feature? ICE and PIE are popular frameworks used by
Score Individually: Have team members score each idea independently to avoid groupthink. By embedding ice pie models into larger Earth
Exposure: When the content has the highest opportunity to be seen. Other Contexts
Would you like a visual example of an ice pie model (e.g., a diagram comparing Arctic sea ice extent over time), or a deeper dive into the actual mass balance equations behind it?