Build effort estimate (ballpark)
Wizard + radio multipliers show how scope explodes when shipping iOS and Android together—patterns product studios pitch with interactive proposals.
Example scenario
A startup scoping an MVP maps 28 primary screens and uses the default "MV solid" complexity assumption of 14 blended hours per screen, with a $185 blended delivery rate. Under the default single-platform scope factor (1.0), the modeled fixed-bid estimate is about $72,520 for one development phase before contingency, QA overruns, and post-launch iteration cycles. Product teams typically use this baseline to pressure-test whether feature depth, staffing model, or launch platform strategy should be adjusted before vendor negotiations.
Build effort estimate (ballpark)
Screens × complexity × rate × platform factor
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How to use the build effort estimate (ballpark)
- Enter primary screens/flows based on your current product map, including core states that require design and engineering effort.
- Choose hours per screen from the complexity tier that best matches your feature set, integrations, and UX depth.
- Input blended hourly rate as your combined design and engineering cost basis for the team delivering the phase.
- Select platform scope, then compare single-platform and dual-platform scenarios to quantify budget impact before committing roadmap scope.
Mobile app scoping benchmark context
- Cross-platform scope inflation
- Shipping both iOS and Android commonly increases delivery effort versus single-platform builds because of platform QA, release management, and device-specific edge cases.
- Complexity-driven effort variance
- Per-screen effort can change significantly when authentication, payments, realtime sync, or third-party integrations are introduced.
- Estimate confidence practice
- Studios often present ballpark estimates as ranges and add contingency to account for product discovery findings and backlog volatility.
Best use cases
- Forecasting and scenario planning
- Client education and pre-qualification
- Budget and performance decision support
Frequently asked questions
Does this estimate include backend architecture and DevOps work?
Only to the extent those activities are implicitly reflected in your chosen hours-per-screen tier. For accuracy, teams should separately model non-UI-heavy backend, security, and infrastructure streams if they are substantial.
Why does dual-platform delivery increase cost by a multiplier instead of exactly 2x?
Some discovery, product management, and design work is shared across platforms, while implementation and QA have platform-specific effort. Multipliers reflect that partial reuse rather than fully duplicating every task.
Should I count every UI state as a separate screen?
For planning fidelity, include materially distinct flows or complex states that require dedicated design, logic, or testing. Overly coarse screen counts tend to understate delivery effort and timeline risk.
How should I convert this ballpark into a contract-ready budget?
Use this output as an early sizing anchor, then run discovery to define epics, technical constraints, and acceptance criteria. Most teams finalize pricing after converting assumptions into a scoped backlog with risk allowances.
Glossary
Scenario modeling
Testing multiple assumptions to estimate possible outcomes before execution.
Commercial intent
User behavior indicating readiness to buy, subscribe, or request a quote.
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Category: Software project scoping and estimationTopics: Mobile app cost estimator, Product development budgeting, Agency proposal planning
Last reviewed: 2026-05-07
Reviewed by: Calclet Growth Team