Build a Dedicated QA Team That Owns Your Quality to Stop Losing Customers to Preventable Bugs
Whether you're hiring a dedicated QA team for the first time or replacing an existing vendor, ThinkSys deploys in 3–7 days with zero ramp-up gaps.
We embed experienced QA leads and testers directly into your sprints, covering all aspects of software testing (manual, automation, performance, and security coverage as needed). You get measurable KPIs, clear SLAs, and a proven 30-day onboarding plan that starts delivering results from week one.
ThinkSys Leadership
Led by ThinkSys QA leads
3–7
Days to Start
Measurable KPI Impact
Why Teams Choose Our Dedicated QA Over Hiring In-House
"Compared to hiring in-house, a dedicated QA team gives you high quality, ready-to-run testers and predictable execution from week one — without recruitment delays or ramp-up costs."
Dedicated QA Lead + Vetted Engineers
A senior QA lead manages your testing strategy while experienced QA engineers execute — no juniors, no learning curve.
Scale Up/Down Without Rehiring Delays
Add mobile testers for a sprint. Scale down post-launch. Adjust team size monthly without recruitment overhead or severance costs.
Transparent Delivery with Shared Jira Visibility
Your team sees every test case, defect, and status update in real-time. We work in your tools, your workflows, your dashboards. Jira becomes the single source of truth for task management, test execution, and defect status.
IP & Code Ownership Stays With You
All test plans, automation frameworks, and defect insights belong to you. NDA-ready from day one, no vendor lock-in.
Weekly KPI Reporting + Release Sign-Off Notes
Track defect leakage, automation stability, and release readiness every week. Get go/no-go reports within 2 hours of the final build.
Stable, Named Engineers (Not a Rotating Pool)
ThinkSys assigns the same named QA lead and engineers to your account sprint after sprint. Your testers build deep product knowledge over time. We include team-continuity clauses in every contract: if a team member leaves, we guarantee a documented knowledge transfer and replacement ramp-up within 1–2 business days with no gap in test coverage.
Ready to stabilize your releases?
Skip the 3-month hiring cycle and start software testing next week
When a Dedicated QA Team Is the Right Move?
A dedicated quality assurance team works best when you need embedded testing capacity that scales with your product, not a one-time project or fully hands-off outsourcing.
Not sure which model fits your needs?
Book a 20-minute QA fit call, and we'll walk through your release cadence, team structure, and testing gaps, then recommend the right engagement model (dedicated team, managed QA, or staff augmentation).
You're a Good Fit If:
- Frequent releases (weekly/bi-weekly) and regression risk piling up
- Flaky automation or unstable CI runs are slowing your pipeline
- Limited internal QA leadership or bandwidth to scale testing
- Multi-platform needs (web + mobile + APIs) stretching your team thin
- Compliance or risk-heavy workflows requiring audit trails
- Roadmap demands scaling QA quickly without hiring delays
- Need embedded testers who act like your team, not vendors
- In-house QA team is overloaded or understaffed and you need capacity within days.
- Transitioning away from a current QA vendor and need continuity with no testing gap.
Not Ideal If:
- One-time testing spike needed (try managed QA instead)
- Prototype-only stage with no stable requirements yet
- Hands-off, fully outsourced model preferred (see managed services)
Need managed QA instead? Let's discuss other models.
What Your Dedicated QA
Team Delivers Each Sprint
"You don't get vague promises. You get QA artifacts in Jira, dashboards, and release reports every sprint."
QA Strategy + Risk-Based Test Plan
A prioritized testing roadmap aligned to your release schedule and business-critical flows. We document which features get tested first, which risks need coverage, and how testing effort maps to business impact and release risk.
Sprint Test Planning + Story Acceptance
Every user story gets acceptance criteria review, testability checks, and edge case scenarios before dev starts. No more 'how do we test this?' discussions mid-sprint or unclear definitions of done that cause rework.
Manual Regression Suite (Maintained)
Core workflows are documented, executed, and updated every sprint, so regression never gets skipped. We maintain a living test suite that evolves with your product, ensuring critical paths stay protected as features change.
Automation Roadmap
We identify which flows need automated testing, when to automate them, and why. You get a prioritized plan: which tests should be automated now (high-value, stable), which should wait (still changing), and which should stay manual (exploratory, UX validation).
Release Sign-Off Report
Pass/fail summary + known risks + rollback conditions, delivered 2 hours before go-live. Every release gets a documented go/no-go recommendation with test coverage status, open defects by severity, and a deployment readiness checklist.
Defect Triage + Root-Cause Trends
No more 'waiting for test data' delays; we ensure environments and data are sprint-ready. Before every sprint starts, we verify: test environments are stable, data is refreshed, integrations are working, and testers can start executing on day one.
Test Data + Environment Readiness Checklist
Before every sprint, we verify environments are stable, data is refreshed, and integrations are working so testers can start executing on day one without delays.
Test Reporting Dashboard (KPIs Weekly)
Real-time dashboards + weekly summaries tracking coverage, defects, flaky tests, and blockers. Your stakeholders see test execution trends, defect velocity, automation health, and release readiness, updated daily, summarized weekly.
Flaky Test Stabilization Plan
If your automation is unreliable, we diagnose root causes and stabilize it before scaling. We audit existing tests, identify flaky patterns (timing issues, hard-coded waits, brittle selectors), fix the unstable ones, and implement stability rules before adding new automation.
Performance Baseline Checks (Optional)
Load/stress testing for critical flows to catch performance regressions early. We establish baseline response times, run load tests before major releases, and alert when API latency, page load times, or database queries degrade beyond acceptable thresholds.
Security Test Coverage Plan (Optional)
OWASP Top 10 checks, auth/authorization testing, and secure data handling validation. We test for SQL injection, XSS, insecure authentication, broken access control, and sensitive data exposure, integrated into your sprint cycle.
Knowledge Retention + Documentation
Test plans, defect insights, and automation frameworks stay with you, with zero knowledge loss. If we part ways, you inherit fully documented test suites, automation code, environment configs, and test data management strategies. No vendor lock-in.
Want to see what a release sign-off report actually looks like?
Download a sample to understand how we document test coverage, defect status, risk assessment, and go/no-go recommendations before every deployment.
Our Dedicated QA Team
Composition (By Scenario)
Most vendors list generic roles. We recommend team blueprints based on your actual scenario, release cadence, platform complexity, and compliance needs.
| Blueprint | Team Size | Start Timeline | Best For |
|---|---|---|---|
A: SaaS Agile | 3 members | 3–5 days | teams shipping weekly and struggling with regression risk. |
B: Enterprise | 5–7 members | 1 week | Multiple squads, complex integrations |
C: Mobile App | 3–4 members | 5–7 days | iOS/Android, device fragmentation |
D: Compliance | 4–5 members | 1 week | Fintech, healthcare, and audit requirements |
A: SaaS Agile
Details
3 members
3–5 days
teams shipping weekly and struggling with regression risk.
B: Enterprise
Details
5–7 members
1 week
Multiple squads, complex integrations
C: Mobile App
Details
3–4 members
5–7 days
iOS/Android, device fragmentation
D: Compliance
Details
4–5 members
1 week
Fintech, healthcare, and audit requirements
Blueprint A: SaaS Agile (Weekly Releases)
Team: 1 QA Lead, 1 Automation Engineer, 1 Manual QA
Tools: Jira, Playwright/Cypress, GitHub Actions, Allure Reports
Why This Works
QA Lead embeds in sprint planning to review acceptance criteria before dev starts. Automation Engineer builds tests that run on every commit, catching regressions in 15–30 minutes. Manual QA handles exploratory testing and edge cases automation misses. You ship weekly without quality erosion.
Blueprint B: Enterprise Multi-Module (Long Roadmap)
Team: 1 QA Manager, 1 Automation Engineer, 2–4 Manual QAs, 1 Domain SME (part-time)
Tools: Jira, Selenium/Playwright, Jenkins/Azure DevOps, TestRail
Why This Works
QA Manager coordinates across squads to prevent testing silos. Each module gets a dedicated tester who becomes a domain expert, with no knowledge gaps, no handoff delays. Domain SME validates complex business logic that generic testers don't understand. Shared automation framework prevents each squad from reinventing infrastructure.
Blueprint C: Mobile App (Android/iOS)
Team: 1 QA Lead, 1 Mobile Automation Engineer, 1–2 Manual QAs, Device/Cloud Lab Support
Tools: Jira, Appium/Detox, BrowserStack/Sauce Labs, Firebase Test Lab
Why This Works
Mobile automation runs critical flows across 15+ devices in parallel using cloud labs — no drawer full of test devices needed. Manual QA validates gestures, animations, and UX polish that automation can't catch. QA Lead ensures iOS/Android feature parity and manages store submission checklists. Device fragmentation bugs caught before launch.
Blueprint D: Compliance-Heavy (Fintech/Health/Insurance)
Team: 1 QA Lead, 1 Automation Engineer, 1 Manual QA, 1 Security/Compliance Tester (shared)
Tools: Jira, Selenium/Playwright, OWASP ZAP, Compliance checklists (SOC 2/HIPAA/PCI), k6 or JMeter for load validation
Why This Works
Compliance Tester validates regulatory requirements (PHI encryption, audit logs, role-based access). Automation enforces workflow validation on every build. QA Lead maintains traceability matrices and test evidence that auditors accept. You pass SOC 2/HIPAA/PCI audits without last-minute panic.
Not sure which blueprint fits?
Tell us your release frequency and platforms so we can recommend a team in 24 hours.
Launch a Dedicated QA Team Fast: 30–60–90 Day Plan
Below is a complete roadmap to start working with your dedicated QA team.
Why your team is
struggling now
"Ad-hoc testing, manual handoffs, and zero visibility into critical release paths."
Phase 01: Start Testing
"Ad-hoc testing, manual handoffs, and zero visibility into critical release paths."
Define Your Needs — We’ll Shape the QA Team Blueprint
Tell us your current testing state & release cadence, and we'll tailor this plan to your situation.
How ThinkSys Works
With Your Team
No ambiguity, no surprises. You get structured QA support for planning, triage, and release readiness plus consistent testing processes your team can follow sprint after sprint. Here's how we integrate with your workflow and cadence.
Operating Cadence
| Meeting | Frequency | Duration | Purpose |
|---|---|---|---|
| Daily standup | Every workday | 15-minute | Status sync, blockers, today's focus |
| Defect triage | 2x/week | 30-minute | Severity assignment, priority setting, and owner allocation |
| Sprint planning | Every sprint | 1 hour | Test planning, acceptance criteria review, and risk assessment |
| Sprint retro | End of sprint | 45-minute | Process improvements, team feedback, action items |
| Release sign-off | Every release | 20-minute | Go/no-go decision, risk review, rollback readiness |
| Weekly KPI review | Every Monday | 20-minute | Trend analysis, defect patterns, and action plan |
Daily standupDetails
Frequency: Every workday
Purpose: Status sync, blockers, today's focus
Defect triageDetails
Frequency: 2x/week
Purpose: Severity assignment, priority setting, and owner allocation
Sprint planningDetails
Frequency: Every sprint
Purpose: Test planning, acceptance criteria review, and risk assessment
Sprint retroDetails
Frequency: End of sprint
Purpose: Process improvements, team feedback, action items
Release sign-offDetails
Frequency: Every release
Purpose: Go/no-go decision, risk review, rollback readiness
Weekly KPI reviewDetails
Frequency: Every Monday
Purpose: Trend analysis, defect patterns, and action plan
ThinkSys QA SLAs
| Commitment | SLA | Notes |
|---|---|---|
| New defect triage | Within 24 hours | Severity assigned (Critical/High/Medium/Low), initial assessment, owner identified |
| Retest turnaround | Same day / next business day | Critical/High: same day. Medium/Low: next business day |
| Daily status update | End of day | Slack/email summary: tests executed, defects found, blockers, tomorrow's plan |
| Release report | Within 2 hours of the final build | Pass/fail summary, open defects by severity, known risks, go/no-go recommendation |
| Blocker escalation | Within 1 hour | Critical path issues only (environment down, deployment blocked, show-stopper bug) |
| Test environment downtime | Within 30 minutes | Acknowledgment + estimated resolution time (or escalation to DevOps) |
| Regression cycle delivery | Within 24 hours | Full regression suite execution and results report delivered within 24 hours of final build |
| Test environment setup | Within 1–2 business days of contract start | Environments, access, and test data configured before first sprint begins. |
New defect triageDetails
SLA: Within 24 hours
Severity assigned (Critical/High/Medium/Low), initial assessment, owner identified
Retest turnaroundDetails
SLA: Same day / next business day
Critical/High: same day. Medium/Low: next business day
Daily status updateDetails
SLA: End of day
Slack/email summary: tests executed, defects found, blockers, tomorrow's plan
Release reportDetails
SLA: Within 2 hours of the final build
Pass/fail summary, open defects by severity, known risks, go/no-go recommendation
Blocker escalationDetails
SLA: Within 1 hour
Critical path issues only (environment down, deployment blocked, show-stopper bug)
Test environment downtimeDetails
SLA: Within 30 minutes
Acknowledgment + estimated resolution time (or escalation to DevOps)
Regression cycle deliveryDetails
SLA: Within 24 hours
Full regression suite execution and results report delivered within 24 hours of final build
Test environment setupDetails
SLA: Within 1–2 business days of contract start
Environments, access, and test data configured before first sprint begins.
Communication Channels
Daily Operations
Slack/Teams channel: Real-time updates, quick questions, defect alerts
Jira comments: Defect details, test evidence, reproduction steps
Shared dashboard: Test execution status, defect trends, automation health
Weekly Reporting
KPI summary email
Sent every Monday with trends, risks, and action items
Release sign-off report
Delivered 2 hours before deployment with go/no-go decision
Escalation Path
Tester → Dev
Standard defects, clarifications
QA Lead → Engineering Lead
Blockers, environment issues
QA Lead → Product/CTO
Release delays, critical risks
What You Get From Day One
No guessing games
You know when we'll respond, when reports land, and who to escalate to
Shared visibility
Test status, defect trends, and blockers visible in your tools (Jira, Slack, dashboards)
Predictable workflow
Meetings have clear agendas, SLAs have clear timelines, and escalations have clear paths
Customized QA Engagement Planning
If you work with different release cadences, different tools, and different time zones, we'll configure cadence, SLAs, and communication to fit your workflow.
KPIs We Track
From Week 1
Every ThinkSys engagement includes a weekly KPI dashboard covering business-level quality metrics: defect leakage rate, test execution velocity, automation coverage %, escaped bug trend, and regression cycle time. Not just a list of tickets closed.
We don't just test; we measure software quality like a business function, tracking 12 KPIs that directly connect testing activity to release outcomes.
12 Core Quality Metrics
Defect Leakage / Escaped Defects
Bugs found in production vs before release.
Why it matters: Directly impacts churn, support load, and brand trust.
Reopen Rate
Defects that fail retest after being marked fixed.
Why it matters: Indicates fix quality and clarity of requirements.
MTTR / Time-to-Verify
Time from fixed to verified & closed by QA.
Why it matters: Faster verification = faster releases.
Test Execution Trend
Planned vs executed test cases per sprint.
Why it matters: Shows whether testing is keeping pace with delivery.
Automation Pass Rate
% of automated tests passing consistently in CI.
Why it matters: Low pass rates erode trust in automation and block releases.
Flaky Test Rate
Automation failures caused by instability (not real defects).
Why it matters: Flaky tests create false alarms and slow the pipeline.
Requirements Clarity Blockers
Stories blocked due to unclear acceptance criteria.
Why it matters: Unclear specs delay testing and drive rework.
Release Readiness Score
% of critical/high-priority coverage completed before cutoff.
Why it matters: Enables confident go/no-go decisions.
Defect Density by Module
Where defects concentrate across modules/features.
Why it matters: Reveals risk hotspots and where to focus engineering fixes.
Top Recurring Root Causes
Patterns behind defects (spec gaps, env issues, integration breaks).
Why it matters: Prevents repeat defect classes, not just individual bugs.
Test Environment Availability
Uptime of test/staging environments during work hours.
Why it matters: Environment downtime directly delays releases.
Sprint Velocity Impact
How often testing becomes the bottleneck for delivery.
Why it matters: Ensures QA accelerates releases instead of slowing them.
What You See
Every Week
Download a sample report to see exactly what you will receive every Monday — no fluff, just actionable quality metrics.
Real-Time Dashboard(Jira/TestRail/Custom)
Weekly KPI Summary Email(Every Monday)
Monthly Trend ReportStrategic Review
Security & Ownership Built
Into Every Software Testing Engagement
Your code, your data, your IP — always. We operate under your security policies with zero ambiguity about ownership or access.
Compliance & FAQ
Download our Security & Compliance FAQ for details on background checks, data handling, GDPR/HIPAA compliance, and access management.
NDA-Ready Engagement
We sign your NDA before any project discussion, no exceptions. Confidentiality isn't negotiable.
Least-Privilege Access Controls
Testers get role-based access, only what they need, when they need it. No blanket admin rights, no unnecessary permissions.
Secure Repos and Environments
We follow your security policies: VPN, 2FA, SSO, audit logs, encrypted data in transit and at rest. Your infrastructure rules apply to us.
IP and Test Assets Ownership Stays With You
All test plans, automation code, defect insights, and documentation are yours. No vendor lock-in. If we part ways, you keep everything.
SOC 2 & ISO-Aligned Processes
Our processes align with SOC 2 Type II and ISO 27001 standards, background checks, secure onboarding, and data handling protocols.
Choose the Right
QA Engagement Model
Not sure if you need a dedicated team, fully managed QA, or individual contractors? Here's how the three models compare, so you can choose the right fit for your situation.
Service Model Comparison
| Factor | Dedicated QA Team | Managed QA Services | Staff Augmentation |
|---|---|---|---|
Who owns QA strategy? | Your team + our QA Lead (collaborative) | Fully us (we define & execute) | Your team (we execute) |
Who manages execution? | Our QA Lead (embedded in your team) | Our QA Manager (external, reports to you) | Your QA Manager (our testers report to you) |
Speed to scale | 3–7 days (team ready to test) | 1–2 weeks (setup + process definition) | 1–3 days (individual resources) |
Best for | Long-term partnership, product ownership | Project-based, outcome-driven delivery | Short-term capacity gaps, budget flexibility |
Cost predictability | Fixed monthly team cost | Variable (based on scope & deliverables) | Hourly/daily rates (flexible, pay-as-you-go) |
Knowledge retention | High (team stays with you) | Medium (handoff at project end) | Low (individuals rotate frequently) |
Tooling ownership | Your tools + ours (integrated workflow) | Our tools (you receive reports & dashboards) | Your tools (we adapt to your stack) |
Outcome accountability | Shared (collaborative ownership) | Fully us (SLA-driven commitments) | Your team (we support execution) |
Who owns QA strategy?
Details
Your team + our QA Lead (collaborative)
Fully us (we define & execute)
Your team (we execute)
Who manages execution?
Details
Our QA Lead (embedded in your team)
Our QA Manager (external, reports to you)
Your QA Manager (our testers report to you)
Speed to scale
Details
3–7 days (team ready to test)
1–2 weeks (setup + process definition)
1–3 days (individual resources)
Best for
Details
Long-term partnership, product ownership
Project-based, outcome-driven delivery
Short-term capacity gaps, budget flexibility
Cost predictability
Details
Fixed monthly team cost
Variable (based on scope & deliverables)
Hourly/daily rates (flexible, pay-as-you-go)
Knowledge retention
Details
High (team stays with you)
Medium (handoff at project end)
Low (individuals rotate frequently)
Tooling ownership
Details
Your tools + ours (integrated workflow)
Our tools (you receive reports & dashboards)
Your tools (we adapt to your stack)
Outcome accountability
Details
Shared (collaborative ownership)
Fully us (SLA-driven commitments)
Your team (we support execution)
Which Model Should You Choose?
Choose Dedicated QA Teams if:
- You want embedded ownership + long-term consistency
- Your product needs ongoing testing (not a one-time project)
- You want testers who understand your product deeply and act like your team
- You need a collaborative QA strategy (not fully hands-off, not fully hands-on)
Choose Managed QA Services if:
- You want fully outsourced outcomes end-to-end
- You need testing for a specific release, feature, or time-bound project
- You prefer a vendor who owns the entire QA process (strategy, execution, reporting)
- You want SLA-driven delivery with no involvement required from your team
Choose Staff Augmentation if:
- You already have QA leadership and processes in place
- You need extra hands for short-term capacity (hiring ramp-up, temporary spike)
- You want maximum flexibility (scale up/down weekly, pay only for hours worked)
- You're comfortable managing execution and providing direction daily
If still confused, we are here to help you. Book a 20-minute model fit call.
We’ll walk through your release cadence, team structure, and testing gaps, then recommend the right engagement model.
Results From
Dedicated QA Engagements
Real teams, real products, real outcomes. Here's what happens when you embed a dedicated QA team.
SaaS Project Management Tool
"Manual regression took 3+ days; escaped defects caused customer churn."
4 weeks to stable automation
- Escaped defects ↓ 67% (15/month → 5/month).
- Release cycle time ↓ 50% (3 days → 1.5 days).
- Automation stability: 95% (flaky rate < 5%).
- Customer-reported bugs ↓ 40%.
Fintech Payment Platform
"Compliance audit failures; flaky CI pipeline blocking releases 2–3x/week."
6 weeks to audit-ready coverage
- Audit findings ↓ 80% (10 findings → 2 findings).
- CI pipeline stability: 92% (flaky rate < 3%).
- Zero rollbacks in 6 months.
- Test evidence automated (weekly compliance reports).
Insurance Claims Platform
"Multi-module complexity; no QA ownership; dev team burned out on testing."
3 weeks to first release sign-off
- Defect leakage ↓ 55% (20/release → 9/release).
- Dev team testing time ↓ 70% (freed 40 hours/sprint).
- Time-to-market ↓ 30% (6-week → 4-week releases).
- Quality escalations ↓ 60%.
Healthcare Mobile App
"Device fragmentation causing crashes; App Store rejections (10 in 3 months)."
2 weeks to device coverage; 5 weeks to stable automation
- Store rejections ↓ 90% (10 → 1 in 6 months).
- Crash rate ↓ 75% (4% → 1%).
- Device coverage ↑ 300% (5 → 15 devices).
- Zero post-release hotfixes in 4 months.
Engagement
Options
ThinkSys offers three engagement models to match your release cadence and budget: a Dedicated Team for ongoing products that need embedded QA sprint after sprint, a Sprint-Based engagement for fixed-scope projects like pre-launch testing or automation build-outs, and a Hybrid Model combining a stable core team with on-demand specialists. Not sure which fits? The comparison below walks through the differences.
Dedicated QA Team
Monthly Retainer
Stable squad embedded in your sprints, think of them as your team. Same QA Lead, same testers, sprint after sprint.
Best For:
Commitment
Minimum 3 months (ensures team stability and product knowledge retention)
Cost Structure
Fixed monthly retainer (predictable budgeting)
Sprint-Based Engagement
Fixed Scope
Short-term burst with defined deliverables, automation setup, regression suite build, release readiness testing, or pre-launch QA.
Best For:
Commitment
4–12 weeks (scope-dependent)
Cost Structure
Fixed project fee based on deliverables (quoted upfront)
Hybrid Model
Core Team + Specialists on Demand
Dedicated core team (QA Lead + 1–2 testers) handles ongoing testing. Add specialists as needed: performance testers for load testing, security testers for pen tests, accessibility testers for WCAG compliance.
Best For:
Commitment
Flexible (core team monthly retainer, specialists billed per project or sprint)
Cost Structure
Core team (monthly) + specialists (project-based or daily rates). Specialists are billed hourly or per-sprint (no long-term commitment for surge capacity).
What Impacts
the Cost?
Pricing depends on six factors. Here’s how each one affects your investment:
We provide custom quotes based on your actual needs, not generic tier pricing that doesn’t fit anyone.
Team Size + Roles
More specialized roles = higher cost. A 3-person team (QA Lead + 2 Manual QAs) costs less than a 5-person team (QA Lead + Automation + 2 Manual + Security Tester).
Platforms
Multi-platform testing (web + iOS + Android + APIs) increases complexity and team size. Testing one web app costs less than testing web + mobile parity.
Release Frequency
Weekly releases require faster turnaround, tighter SLAs, and often a larger team. Monthly releases allow smaller teams with more lead time.
Automation Scope
Building automation from scratch (framework setup, CI/CD integration, 100+ tests) costs more upfront than maintaining an existing suite or adding 10–20 new tests.
Compliance/Security
Audit trails, test evidence collection, and regulatory workflows (HIPAA, PCI-DSS, SOC 2) require additional documentation effort and specialized testers.
Device/Lab Needs
Mobile testing with cloud device labs (BrowserStack, Sauce Labs, AWS Device Farm) adds infrastructure costs. Testing 15 devices costs more than testing 5.
Ready for a custom quote?
Tell us about your product, release cadence, and platforms, and we’ll send a tailored quote with role breakdown, timeline, and cost structure.
What you get in your quote:
- Breakdown by role (QA Lead, Automation Engineer, Manual QA, etc.)
- Timeline (ramp-up, stable coverage, optimization milestones)
- Deliverables (what you'll receive at 30, 60, 90 days)
- Cost structure (monthly retainer, project fee, or hybrid)
- Assumptions (platforms, release frequency, automation scope)