# Execution Scorecard: Dollar cost calculator for investors questioning fees Score: 83/100 Tier: Ready to test Dollar cost calculator for investors questioning fees scores 83/100 for execution readiness. The recommended next step is Ship a single-page calculator with a strong 'see what your 1% advisor really costs you' hook, drive cold traffic from r/personalfinance, r/Bogleheads and fee-related search terms, and measure whether visitors complete the calculation and click through on a 'compare a low-cost option' CTA at a rate worth a referral payout. ## Bottlenecks - Commoditization: dozens of free expense-ratio and fee-drag calculators already exist (Schwab, FINRA, CalcBE), so differentiation must come from UX, portfolio import, and shareability rather than the core math. - Trust and compliance: presenting fee comparisons that nudge users to fire advisors or switch products can edge into regulated investment advice; outputs must stay educational and avoid specific buy/sell recommendations. - Monetization tension: the most natural revenue is advisor/broker referrals, which conflicts with the tool's 'fees are bad' premise and can erode the credibility that drives traffic. - Thin SEO moat: 'expense ratio calculator' is a saturated keyword owned by large finance brands, making organic acquisition slow and costly. - A broad AI assistant can flatten differentiation unless the wedge is painfully specific. - The first release can become a generic dashboard if the job is not named tightly. - Needs real buyer access, not only desk research. ## Accelerators - Can talk to the buyer before writing much code. - Can ship a narrow first-win demo quickly. - Can use local-first research artifacts to keep validation moving without a large team. - Use specificity as the wedge: one buyer, one workflow, one measurable result. - Show proof earlier than broad competitors with before-and-after examples and small pilot data. - Keep implementation lighter than incumbent suites or generic AI assistants. - Concierge review or paid template ## Dated Launch Plan - **2026-08-14 / Frame the wedge**: Write the one-sentence promise and test it in the strongest channel. Proof: Ship a single-page calculator with a strong 'see what your 1% advisor really costs you' hook, drive cold traffic from r/personalfinance, r/Bogleheads and fee-related search terms, and measure whether visitors complete the calculation and click through on a 'compare a low-cost option' CTA at a rate worth a referral payout. - **2026-08-17 / Interview 10 people who match the buyer persona.**: Create the lead magnet and use it to recruit interviews. Proof: Problem resonance: 5+ calls or 10+ detailed replies. - **2026-08-21 / Ship a clickable demo or concierge workflow that produces the first useful artifact.**: Build the smallest demo that proves the first win. Proof: Activation: 25% of demo visitors complete the first-win path. - **2026-08-28 / Run one paid pilot or collect explicit pricing objections before automating the rest.**: Delete any report section that feels generic before building. Proof: Commercial pull: 3 paid pilots, LOIs, or concrete procurement next steps. - **2026-09-04 / Promote to a deeper build plan only after the wedge survives validation.**: Run the lead magnet and first-win demo tests. Proof: Fewer than five qualified buyers agree to discuss the workflow after targeted outreach. - **2026-09-13 / Execution checkpoint 6**: Promote to deeper implementation only once the wedge survives interviews or paid-pilot outreach. Proof: Promote to a deeper build plan only after the wedge survives validation. ## Builder Prompt Create a dated execution plan for "Dollar cost calculator for investors questioning fees". Keep the first milestone tied to Ship a single-page calculator with a strong 'see what your 1% advisor really costs you' hook, drive cold traffic from r/personalfinance, r/Bogleheads and fee-related search terms, and measure whether visitors complete the calculation and click through on a 'compare a low-cost option' CTA at a rate worth a referral payout.. Use these bottlenecks: Commoditization: dozens of free expense-ratio and fee-drag calculators already exist (Schwab, FINRA, CalcBE), so differentiation must come from UX, portfolio import, and shareability rather than the core math.; Trust and compliance: presenting fee comparisons that nudge users to fire advisors or switch products can edge into regulated investment advice; outputs must stay educational and avoid specific buy/sell recommendations.; Monetization tension: the most natural revenue is advisor/broker referrals, which conflicts with the tool's 'fees are bad' premise and can erode the credibility that drives traffic.; Thin SEO moat: 'expense ratio calculator' is a saturated keyword owned by large finance brands, making organic acquisition slow and costly.; A broad AI assistant can flatten differentiation unless the wedge is painfully specific.; The first release can become a generic dashboard if the job is not named tightly.; Needs real buyer access, not only desk research.. Use these accelerators: Can talk to the buyer before writing much code.; Can ship a narrow first-win demo quickly.; Can use local-first research artifacts to keep validation moving without a large team.; Use specificity as the wedge: one buyer, one workflow, one measurable result.; Show proof earlier than broad competitors with before-and-after examples and small pilot data.; Keep implementation lighter than incumbent suites or generic AI assistants.; Concierge review or paid template. Link the output to the Idea Builder prompt and do not expand beyond the first validated workflow.