What the proposal says
"Launch enterprise product in Q2. Projected $8.4M ARR. Team aligned. Board supportive."
Surface narrativeStrategic Analysis Chamber
DepthSharp decomposes business proposals into assumptions, risks, and consequences — so leadership commits resources with evidence, not meeting consensus.
Proposal uploaded Mar 12 · AI analysis complete · 6 dimensions scored
Decision breakdown
From surface narrative to hidden consequences — the analysis process visualized step by step.
24-page enterprise launch plan decomposed in 47s
14 assumptions · 3 low credibility · attach rate 41%
11 risks · 4 high · 2 cascade paths to launch failure
Best $14.2M · Expected $8.4M · Worst $2.1M ARR
Recommendation: validate adoption before Q2 commit
Deep deduction
As you scroll, AI reveals the impact layers behind every decision — moving beyond what sounds good in a meeting to what actually happens six months later.
"Launch enterprise product in Q2. Projected $8.4M ARR. Team aligned. Board supportive."
Surface narrativeRevenue upside is compelling. Competitive window exists. Engineering estimates 6 months. Everyone nods.
Meeting consensusIntegration requires 3 new systems and SOC 2 scope expansion. Engineering estimate is 9 months — overlaps with platform rewrite. 24 FTE competes with APAC expansion for senior talent.
Hidden complexityWithout deep analysis: 6 months of build, 41% day-30 activation, negligible revenue impact, $3.2M spent. With DepthSharp: defer launch, validate adoption assumptions, redirect capacity to validated bet.
Consequence forecastThe gap
Every day: develop a feature, enter a market, hire a team, invest in a project, acquire a company, adjust pricing. The data exists — the deduction doesn't.
What is truly missing is deep deduction before decision-making. DepthSharp helps you see consequences before execution.
A familiar failure pattern
A company prepared to expand into Europe. The board deck showed $4.2M investment, 18-month payback, and strong market opportunity. DepthSharp analysis ran in 47 seconds.
The platform automatically discovered hidden operating costs, localization gaps, and team capability weaknesses — preventing a wrong decision that would have cost $1.8M more than budgeted.
Read full case →Localization, compliance, and regional CS not in original financial model.
DACH market requires dedicated solutions architects — none currently on staff.
Enterprise procurement cycles average 5.1 months in region vs 3.2 domestic.
Nordics deferred to Q4. Corrected budget approved. $3.1M saved vs original plan.
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20 decisions · 100 risk factors · 60 scenarios pre-loaded.