Google Wave Overreach
Evidence note: This is a switching-cost + coordination case. The cleanest evidence is in contemporaneous timelines and founder retrospectives.
Key Result (reported): The creator later noted the tool was “too powerful (and therefore hard to learn) for most people,” reflecting behavior-fit and learning-cost issues.
Case snapshot (schema)
context: "Google Wave failed because it required users to abandon multiple entrenched behavior models simultaneously (email + documents + chat)."
company: "Google"
industry: "Collaboration / Tech"
confidence: "validated"
population: "Teams attempting real-time collaboration across email, docs, and chat"
target_behavior: "Replace email threads + docs + chat with Waves"
constraints:
- "Identity: unclear (\"I'm a wave user\" is not an identity people hold)."
- "Capability: low initially; required learning new interaction patterns."
- "Context: low; requires multi‑party coordination (everyone you work with must adopt)."
measurement:
denominator: "invited and active users (reported)"
window: "2009–2012"
metrics:
key_metric: "The creator later noted the tool was \"too powerful (and therefore hard to learn) for most people\", reflecting behavior-fit and learning-cost issues."
results: "Google Wave failed because it required users to abandon multiple entrenched behavior models simultaneously (email + documents + chat)."
limitations:
- "Network effects and group coordination make adoption unusually fragile; interoperability constraints mattered."
sources:
- "See Sources section"
evidence_ids:
- BS-0069
Summary
Google Wave is a clean example of a high‑quality product that failed due to behavioral switching costs. It required users to change multiple paradigms at once. It also required whole groups to switch together.
Target behavior (operational)
- Population: Teams attempting real-time collaboration across email, docs, and chat
- Behavior: Replace email threads + docs + chat with Waves
- Context: (see case narrative)
- Window: daily communication and document collaboration
Constraints (behavioral)
- Identity: unclear (“I’m a wave user” is not an identity people hold).
- Capability: low initially; required learning new interaction patterns.
- Context: low; requires multi‑party coordination (everyone you work with must adopt).
Fit narrative (Problem → Behavior → Solution → Product)
- Problem Market Fit: Real. Teams needed better collaboration and communication.
- Behavior Market Fit: Low. Wave required abandoning entrenched behavior models simultaneously.
- Solution Market Fit: Technically impressive, but high learning costs and unclear “first behavior” path.
- Product Market Fit: Shutdown within roughly a year after launch.
Behavior Fit Assessment (example)
Target behavior: “Replace email threads + docs + chat with Waves.”
- Identity Fit: unclear (“I’m a wave user” is not an identity people hold).
- Capability Fit: low initially; required learning new interaction patterns.
- Context Fit: low; requires multi‑party coordination (everyone you work with must adopt).
What this illustrates
- Behavior change is expensive. Even if the destination is better, switching costs kill adoption.
- Change one behavior at a time. Successful products usually preserve most mental models while altering one key behavior.
Measurement (window/denominator stated)
- Window: 2009–2012
- Denominator: invited and active users (reported)
- Behavioral KPI (conceptual): % of teams that migrate an existing email workflow end-to-end (requires multi-party coordination)
Results
- Outcome: Google Wave failed because it required users to abandon multiple entrenched behavior models simultaneously (email + documents + chat).
Limitations and confounders
- Metrics may be company- or press-reported; isolate the target behavior and window where possible.
- Effects are context-dependent; avoid generalizing beyond the population and constraints described.
Sources
- Founder of Google Maps Lars Rasmussen on dumping Google Wave (SmartCompany, 2011)
- Google Wave timeline (Wikipedia)
- Evidence Ledger: