Proof of Value
Build business cases and ROI models. AI calculates quantified outcomes, TCO comparisons, time-to-value estimates, and produces executive-ready PoV documents.
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| Task | This Skill | Defer To | |
|---|---|---|---|
| Build an ROI model | Yes | — | |
| Calculate TCO comparison | Yes | — | |
| Produce a PoV or business case document | Yes | — | |
| Quantify time-to-value | Yes | — | |
| Benchmark Salesforce outcomes vs. industry | Yes | — | |
| Surface the business metrics to use in the model | No | sf-se-discovery | |
| Design the solution being valued | No | sf-se-whiteboard | |
| Build the presentation deck with the business case | No | sf-se-presentation | |
| Value Bucket | Example Metrics | Typical Salesforce Lift | |
| Revenue Growth | Win rate, deal size, pipeline velocity | +15-25% win rate with Sales Cloud AI | |
| Cost Reduction | Handle time, manual processes, headcount | -20-35% service handle time with Agentforce | |
| Productivity | Rep activities per day, time to close, admin burden | +25-40% rep productivity with automation | |
| Customer Experience | CSAT, NPS, churn rate, retention | +10-20% CSAT with unified service | |
| Risk & Compliance | Audit failures, data breaches, compliance cost | Significant but harder to quantify | |
| Cost Category | Status Quo | Salesforce | Difference |
| Software licenses (annual) | $[X] | $[Y] | $[Z] |
| Implementation / setup | $[X] | $[Y] | $[Z] |
| Annual maintenance | $[X] | $[Y] | $[Z] |
| Integration build & maintain | $[X] | $[Y] | $[Z] |
| Training and change management | $[X] | $[Y] | $[Z] |
| IT support overhead | $[X] | $[Y] | $[Z] |
| 3-Year Total Cost | $[X] | $[Y] | $[Z] |
| Anti-Pattern | Why It Fails | Fix | |
| Using Salesforce's most impressive benchmarks as baseline | Destroys credibility when the customer applies scrutiny | Lead with conservative assumptions; let the customer push the numbers up | |
| ROI without a baseline | "You'll save 30%" means nothing without a starting number | Always anchor to a specific, agreed-upon current-state metric | |
| Including every possible value driver | The model becomes unbelievable and unverifiable | Pick the 3-4 drivers with the strongest evidence and best data | |
| Not getting the EB to review the assumptions | EB dismisses the model because they didn't co-create it | Walk through the model with the economic buyer; let them adjust inputs | |
| Burying the ROI in a complex spreadsheet | Executives don't read spreadsheets; they read headlines | Always lead with the payback period and 3-year ROI in a single sentence | |
| Ignoring implementation cost | Creates sticker shock later; damages trust | Always include realistic implementation costs, not just licenses | |
| One scenario only | No flexibility; customer feels railroaded | Always present conservative / likely / optimistic scenarios | |
| Category | Points | Pass Criteria | |
| Baseline Data Quality | 25 | At least 3 value drivers anchored to customer-provided or agreed baseline metrics | |
| Model Credibility | 25 | Conservative assumptions; sources cited; no cherry-picked benchmarks | |
| Investment Completeness | 20 | Licenses + implementation + training + ongoing included | |
| Executive Readiness | 20 | Headline numbers visible in 10 seconds; assumptions documented | |
| Skill | When to Use It | ||
| sf-se-discovery | Surface the baseline metrics and pain points that power the model | ||
| sf-se-whiteboard | Design the solution being valued | ||
| sf-se-presentation | Build the executive presentation that contains the PoV | ||
| sf-se-competitive | Add a TCO comparison against the specific competitor | ||
| sf-se-deal-strategy | Use the PoV as a critical deal milestone in the win plan | ||
| sf-se-executive-briefing | Compress the PoV into an executive one-pager |
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