A strategic intelligence canvas that connects repeated customer complaints to unmet jobs and plausible switching triggers, then converts them into evidence-grounded feature bets sequenced across six months — populated only when public evidence is cited.
Analyze [COMPETITOR] by the job customers hire it to do, using cited public evidence only.
Map each [Observed job] customers hire the target to accomplish. Confidence fills only once evidence links are entered.
| Source (G2/Reddit/X) | [Evidence URL] | [Customer quote] | Date captured | Owner |
|---|
Group repeated complaints, then link each cluster back to evidence rows and the unmet job it maps to. Frequency stays neutral until evidence is counted.
| [Complaint cluster] | Frequency | Linked evidence | Unmet job it maps to |
|---|
Each vulnerability scores only when a repeated complaint connects to an unmet job and a plausible switching trigger. Scores read — until required links are populated.
| Vulnerability | Repeated complaint evidence | Unmet job | Switching trigger | Severity | Frequency | Switchability | Confidence | Score |
|---|
Switching triggers are the bridge between vulnerability and feature bets. Keep every lane ready for entry — no trigger is asserted until proof is attached.
Two to three bets, each distinguishing feature parity from a focused wedge. Recommendations remain hypotheses until evidence is cited.
Assign each bet across months one through six along three swimlanes. Slots stay empty until a user places a bet.
Recommendations remain hypotheses until evidence is cited. Every bet carries an explicit way to be disproven — define what evidence would kill it before you build it.