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Speedboat — Trial Evaluation

Use this at the end of a 4–6 week trial to decide: continue, adjust, expand, or stop.


Trial Summary

Field Value
Team  
Trial dates  
Team size  
Product partner  
Facilitator / owner  
Recommendation Continue / Adjust / Expand / Stop

One-paragraph conclusion

Write the shortest honest summary you can.

What changed, what evidence matters most, and what you recommend next.


1. Primary Indicators

These decide whether the trial worked.

Indicator Baseline End of trial Direction Evidence / notes
Cadence and mix of Landings     Better / Flat / Worse  
Time from roadmap idea to credible demo     Better / Flat / Worse  
Quality and sustainability     Better / Flat / Worse Escaped defects, rollback rate, support load, focus

Call


2. Diagnostic Signals

Use your Landing Log, Weekly Snapshots, and board data.

Signal Target / question What happened?
WIP held within limits Mostly stayed within Preview 3 / Build 3  
Preview decisions Every active Preview got a Friday decision  
Started vs Landed ratio Moving closer to 1.0  
Run visibility Reactive and proactive Run were visible  
Preview kill rate Non-zero  

Landing summary

Week Customer Business Platform Decision Total Run % (est.)
W1            
W2            
W3            
W4            
W5            
W6            

What the diagnostics suggest


3. Team Feedback

Summarise the Team Survey here.

Question area Score / signal Notes
Model clarity    
Ceremony usefulness    
Focus and WIP    
Preview vs Build clarity    
Friday pressure    
Overall recommendation    

Themes


4. Product / Stakeholder Feedback

Capture direct feedback from Product, Sales, leadership, or other stakeholders.

Stakeholder What improved? What did not? Recommendation
Product      
Sales / GTM      
Engineering leadership      

5. Keep / Change / Drop

Keep Change Drop
     
     
     

Use this to separate the model itself from your local implementation details.


6. Final Recommendation

Choose one and explain why.

Continue

The model is working as-is well enough to keep running.

Adjust

The model is promising, but needs specific changes before continuing.

Expand

The model worked well enough to extend to another team or larger scope.

Stop

The model did not improve outcomes enough to justify continuing.

Decision note

What exactly are you deciding, and what will happen next?