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Persona: Deacon Bob — Board Member Skeptic

non-critical   Property: ChurchWiseAI   Category: UX / Flow Tier: anonymous Persona: deacon-bob-board-evaluation Touchpoint: /pricing, /faq, /security

Preconditions

  • Visitor is board member who votes on tech spending
  • Concerned about cost, staff time to implement, congregation privacy
  • Conservative approach — needs convincing, not marketing hype

Steps

#ActionExpected Result
1Land on homepageNo AI hype or vague promises. Honest about what product does vs doesn't do.
2Read pricing pageCosts clear with no hidden fees. Annual vs monthly options plain. Explains what you get for each tier.
3Check FAQ for objectionsFAQ addresses common skeptic concerns: cost-benefit, privacy, staff time, security, data ownership.
4Look for implementation effort estimateSetup time clearly stated (e.g. '30 min to live'). No vague 'contact us' required.
5Search for data privacy policyPrivacy policy accessible and readable (not legal jargon). Data handling transparent.
6Check refund/cancel policyNo long-term lock-in. Cancel anytime messaging present. Refund policy fair (e.g. 30-day guarantee).
7Look for congregational privacy assuranceReassurance that visitor data is secure, who can access it, how long it's retained.
8Verify no upselling during trialFAQ clarifies that trial experience won't be artificially limited to force upgrade.
9Check success metrics from similar churchesCase studies or testimonials show realistic outcomes (not '500% ROI' claims). Honest metrics.

Known Failure Modes

  • Marketing hype present — skeptic dismisses as vaporware
  • Pricing has hidden fees — discovered during trial (trust broken)
  • Setup takes weeks — implementation concern becomes deal-breaker
  • Privacy policy vague or missing — board votes no due to risk
  • No refund policy — board worried about being locked in

References

Notes

Deacon Bob votes on board spending. Conservative, skeptical of tech, concerned about cost and staff disruption. Needs: honesty over hype, clear costs, implementation ease proof, strong privacy/cancel policies, realistic metrics. Lifecycle tests miss this — they assume the buyer is already sold.