Technology and Innovation Feasibility Studies for Emerging Business Models
Launching a technology-enabled business model without a rigorous feasibility study is risky. We help founders, corporate innovators, and investors validate technical viability, commercial potential, and operational readiness before you commit capital or scale.
Our feasibility studies combine technical due diligence, market validation, financial modelling, regulatory review, and implementation planning. The result is a clear go/no-go recommendation, quantified risks, and a practical roadmap to pilot, scale, or pivot.
Who this service is for
- Startups exploring a new tech-enabled product or platform.
- Corporate innovation teams de-risking pilot projects or spinouts.
- Investors conducting pre-seed to Series A due diligence.
- Incumbent businesses evaluating digital transformation or platform play.
What we deliver — clear, actionable outputs
Every engagement produces an evidence-based report plus tactical assets you can act on immediately.
- Executive summary with go/no-go recommendation.
- Technical feasibility report (architecture, TRL, integration, scalability).
- Market & competitive analysis (TAM/SAM/SOM, adoption curves).
- Financial model (NPV, IRR, sensitivity, unit economics).
- Risk register & mitigation plan with likelihood/impact scoring.
- Pilot / MVP roadmap with milestones, KPIs and success gates.
- Implementation resource plan (team, skills, estimated budget).
- IP and licensing considerations and recommended protective actions.
- Presentation deck for investors or executive stakeholders.
Why feasibility studies matter for emerging business models
A feasibility study translates uncertainty into decision-grade insight. It prevents wasted capital and ensures your product fits both market demand and technical reality.
- Reduce technical risk by testing assumptions about performance, scalability and integrations.
- Avoid commercial failure by validating customer needs and willingness to pay.
- Improve funding outcomes with quantified projections and defensible assumptions.
- Accelerate time-to-market by prioritising a focused, testable MVP.
- Inform strategic partners and negotiation terms with clear data.
Our approach — rigorous, repeatable, and tailored
We use a phased approach to combine desk research, interviews, modelling, and prototypes. Each phase produces measurable outputs and a decision gate.
Phase 1 — Discovery & Hypothesis Framing
We begin by clarifying the business model, key assumptions, and success criteria.
- Conduct stakeholder interviews to surface implicit assumptions.
- Map the proposed value chain, revenue streams, and customer segments.
- Define measurable hypotheses to test during the study.
Deliverables:
- Framed hypotheses and scope document.
- Decision criteria and success metrics for the study.
Phase 2 — Technical Feasibility & Architecture Review
We examine whether the proposed technology can meet the performance, reliability, and security needs at expected scale.
- Review solution architecture, data flows, third-party dependencies, and API contracts.
- Assess Technology Readiness Level (TRL) and identify implementation gaps.
- Evaluate cloud cost profiles, latency, concurrency, and storage requirements.
- Conduct security posture and privacy-by-design assessment (non-medical contexts only).
Deliverables:
- Technical feasibility scorecard (scalability, reliability, security, integration).
- Identified technical debt, blockers, and recommended mitigations.
- Prototype or POC plan with success metrics.
Phase 3 — Market & Commercial Viability
We validate demand and commercial mechanics through quantitative and qualitative methods.
- Calculate TAM/SAM/SOM and model adoption scenarios.
- Conduct competitive landscaping, substitution analysis, and value proposition testing.
- Run customer interviews, landing page tests or paid ads if rapid validation is needed.
- Map distribution and monetisation channels, including platform partnerships and channel economics.
Deliverables:
- Market sizing models and adoption curves.
- Customer archetypes and validated pricing sensitivity.
- Go-to-market strategy and channel economics.
Phase 4 — Financial Modelling & Unit Economics
We create a dynamic model to evaluate investment returns, cash needs and break-even points.
- Build three scenario forecasts (conservative, base, aggressive).
- Calculate unit economics: CAC, LTV, gross margin, contribution margin, payback period.
- Run sensitivity and Monte Carlo simulations for key variables.
- Provide IRR, NPV, and cash runway estimates.
Deliverables:
- Financial model with scenario analysis.
- Clear funding roadmap and suggested milestones tied to funding tranches.
- KPI dashboard for ongoing monitoring.
Phase 5 — Regulatory, Legal & IP Review
We identify regulatory constraints, licensing needs and intellectual property considerations that could affect viability.
- Map local and international regulatory requirements relevant to the technology and industry.
- Perform a patent and IP landscape scan to assess freedom-to-operate.
- Highlight compliance areas such as data protection, consumer rights, and sector-specific rules.
Deliverables:
- Regulatory checklist with required actions.
- IP risk assessment and recommendations for filings or licensing.
- Suggested contractual clauses for partner agreements.
Phase 6 — Risk Assessment & Mitigation Planning
We quantify and prioritise risks, then propose concrete mitigations and contingency plans.
- Create a risk register with likelihood, impact, and residual risk after mitigation.
- Identify single points of failure and supply chain vulnerabilities.
- Design fallback and pivot strategies for negative scenarios.
Deliverables:
- Prioritised risk register and mitigation plan.
- Early-warning indicators and escalation process.
- Contingency budget recommendations.
Phase 7 — Pilot / MVP Roadmap & Operational Plan
We translate findings into a phased execution plan to validate the business model with minimal capital.
- Define MVP scope aligned with validated hypotheses and technical constraints.
- Create sprint-oriented development plan with roles, dependencies, and acceptance criteria.
- Outline pilot metrics and criteria for scaling or pivoting.
Deliverables:
- Detailed MVP backlog and timeline.
- Pilot success gates and measurement plan.
- Resource hiring and contracting plan.
Methodologies & tools we use
We combine best-practice frameworks and proven technical assessments to deliver reliable conclusions.
- Lean Canvas and Business Model Canvas.
- TAM/SAM/SOM, Porter’s Five Forces, and PESTLE analysis.
- Financial modelling: DCF, IRR, NPV, sensitivity analysis, Monte Carlo.
- Technology assessments: TRL, architecture review, capacity planning.
- UX & market validation: customer interviews, A/B tests, landing pages, ad experiments.
- IP: patent landscape, freedom-to-operate screening.
- Risk: risk matrix, Bowtie analysis, RAID logs.
Packages — choose the depth that fits your need
| Package | Duration | Core Deliverables | Recommended for | Typical Cost Range* |
|---|---|---|---|---|
| Quick Scan | 2–3 weeks | Executive summary, high-level TRL, market snapshot, go/no-go | Early-stage ideation, pre-internal investment | $5k–$15k |
| Standard Feasibility | 6–8 weeks | Full technical, market, financial model, risk register, MVP roadmap | Seed-stage startups, corporate pilots | $25k–$75k |
| Comprehensive Due Diligence | 10–14 weeks | Deep technical audit, IP landscape, Monte Carlo financials, pilot plan | Investors, Series A/B considerations, major strategic pivots | $75k+ |
*Estimates vary by scope, geography and required depth. Share project details for a tailored quote.
Real-world examples (anonymised case studies)
Case study 1 — Marketplace platform for B2B services
Situation: Early startup proposing an AI-matching marketplace for professional services with complex integrations to CRM systems.
Approach: We performed architecture review, integration risk assessment, and priced cloud costs at scale. We also conducted customer interviews to validate pricing and SLA willingness-to-pay.
Result: Our study uncovered a major integration latency risk and showed that a subscription-plus-transaction fee model reached positive unit economics only with a 30% higher retention rate. The startup pivoted to an enterprise onboarding model, reducing CAC by 40% and securing a $1M pilot contract.
Case study 2 — IoT-enabled asset monitoring for logistics
Situation: Corporate innovation team evaluating device connectivity and backend analytics for global fleet tracking.
Approach: We assessed connectivity costs across regions, evaluated offline data resilience, and mapped regulatory constraints in multiple jurisdictions. We built a pilot specification and cost-per-device model for 10k units.
Result: The pilot plan reduced expected per-unit costs by 22% through edge-processing adjustments, and the company launched a 12-month pilot with two logistic partners.
Case study 3 — Fintech lending-as-a-service platform
Situation: Investor needed technical and regulatory due diligence for a lending platform with alternative credit scoring.
Approach: We completed a full TRL assessment, reviewed model explainability, and mapped licensing requirements across jurisdictions. We modelled default scenarios with stress tests.
Result: The investor adjusted valuation expectations and structured an earnout based on regulatory approvals and model performance, reducing downside risk.
Example outputs — financial scenarios
We present results in conservative, base and aggressive models. Below is a sample IRR and payback overview for a SaaS marketplace (hypothetical figures).
| Scenario | 5-Year Revenue ($m) | NPV at 10% ($m) | IRR | Payback (months) |
|---|---|---|---|---|
| Conservative | 2.1 | 0.8 | 8% | 40 |
| Base | 6.7 | 3.2 | 22% | 24 |
| Aggressive | 18.4 | 10.6 | 48% | 12 |
These outputs show how small changes in retention or CAC dramatically affect returns. Our sensitivity analysis quantifies these inflection points.
Risk matrix — sample
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Integration failure with key partner | Medium | High | Early API contracts, sandbox testing, fallbacks |
| Regulatory non-compliance in a target market | Low | High | Engage local counsel, phased market entry |
| Unit economics worse than forecast | Medium | Medium | Reduce CAC via partnerships, increase ARPU via premium features |
| Data privacy breach | Low | Critical | Implement encryption, audits, and incident response plan |
Intellectual property & open-source considerations
We evaluate whether your technology is protectable and whether third-party licenses introduce constraints.
- Conduct patent landscape scans to identify potential blockers and filing opportunities.
- Assess FOSS licenses and compatibility with your commercial model.
- Recommend IP ownership structures for co-development or contractor-made innovations.
How we validate technical claims
We don't just accept claims — we test them. Methods include:
- Reviewing architectural diagrams and raw design documents.
- Running small-scale load and integration tests (POC) where permissible.
- Interviewing engineers and mapping required skills vs current team.
- Estimating cloud costs using deployment and traffic forecasts.
These validations expose hidden costs and technical debt that often derail scaling.
Common outcomes and recommended next steps
After our study you will have one of three outcomes: proceed, proceed with conditions, or pivot/stop. For each outcome we provide a prescriptive plan.
- Proceed: Ready-to-implement MVP plan with milestones and funding roadmap.
- Proceed with conditions: Specific mitigations or additional POCs required before scale.
- Pivot/Stop: Clear rationale and alternative model recommendations to redeploy capital efficiently.
Pricing & engagement models
We offer flexible engagement models to fit your needs and budget.
- Fixed-price engagement for defined scopes and deliverables.
- Time-and-materials for exploratory or open-ended projects.
- Retainer + milestone-based model for ongoing advisory during pilot and scale phases.
We share a detailed SOW and payment schedule before starting. Contact us with project details for a tailored quote.
What we need from you to start (fast onboarding)
Providing these items speeds the study and reduces discovery time.
- Brief description of the business model and target markets.
- Existing architecture diagrams, product specs or wireframes.
- Any prior market research or customer interview notes.
- Financial assumptions or historical performance data if available.
- Target timeline and decision deadlines.
Share these via the contact form or email info@researchbureau.co.za to get started.
Why Research Bureau
We combine deep technical expertise with practical commercial insight to deliver feasibility studies that reduce uncertainty and enable confident decisions.
- Team with cross-functional experience: technologists, market researchers, financial analysts, and legal/IP specialists.
- Proven track record across startups, corporates and investors in multiple regions.
- Evidence-based approach: we prioritise testable hypotheses, measurable KPIs and defensible modelling.
- Clear deliverables designed for decision-makers and investors.
FAQs
How long does a typical feasibility study take?
Typical timelines range from 2–14 weeks depending on depth. Quick scans can be completed in 2–3 weeks, while comprehensive due diligence may take 10–14 weeks.
Can you help with the pilot implementation after the study?
Yes. We offer pilot design and program management services. We can also act as advisors or help source technical partners under a separate engagement.
Do you sign NDAs?
Yes. We routinely execute NDAs to protect confidential information during assessments.
Do you provide funding or investment?
We do not provide funding directly. However, our deliverables are structured to support investor conversations and fundraising.
Will you conduct user testing?
We can conduct user interviews, landing page tests, and small paid acquisition experiments to validate demand as part of the study.
How do you price your services?
We price based on scope, timeline, and complexity. Share project details to receive a customised proposal and fixed quote.
Next steps — get a tailored quote
Ready to de-risk your technology and innovation plan? Share high-level details to receive a tailored proposal:
- Project name and brief description of the business model.
- Key questions you want answered by the study.
- Target markets and desired timeline.
- Any existing artifacts (architecture docs, financials, prior research).
Contact us now:
- Click the WhatsApp icon on this page to start a chat instantly.
- Use the contact form to upload documents and request a quote.
- Email: info@researchbureau.co.za with “Feasibility Study Inquiry” in the subject line.
We’ll respond within one business day with next steps and a proposed timeline.
Bold decisions require precise evidence. Our Technology and Innovation Feasibility Studies turn uncertainty into a strategic advantage so you can fund, build, or pivot with confidence. Share your project details today and get a customised proposal.