/Case studies/InterviewKickstart
EdTech / AI

Full-spectrum QA across AI products, web apps and enterprise platforms

How we built quality engineering from the ground up at InterviewKickstart, spanning AI mock interviewers, voice bots, chatbots, CRM migration, payment systems, security testing, and 50+ web applications across US and India audiences.

Client

InterviewKickstart

Team

Dedicated QA engineers

Engagement

Ongoing

Domains

Learn (US), Organic (US), India

Technologies and tools

QaseQase
JiraJira
GitHubGitHub
SlackSlack
FigmaFigma
BrowserStackBrowserStack
BigQueryBigQuery
DjangoDjango
Metabase
CodeGen
Key metrics

Results by the numbers

50+

Web apps tested

0

Critical defects reached production

3

Audience domains covered

Daily

Agile QA engagement

Reporting cadences (daily, weekly, monthly)

0→1

QA process built from scratch

About the project

Here's a bit about InterviewKickstart

Industry

EdTech / AI

Engagement

Ongoing

Platforms

Web, Mobile, CRM

Domains

US and India

InterviewKickstart (IK) is an ed-tech platform that helps software engineers and technology professionals prepare for technical interviews and land roles at top-tier tech companies. The platform operates across three domains, Learn and Organic (both serving US audiences) and India, running webinars, masterclasses, bootcamps, and marketing campaigns at scale. Users register through lead generation funnels, and their data flows through multiple backend systems for sales, marketing, and analytics.

As the product suite expanded rapidly, spanning AI mock interviewers, voice bots, NLP chatbots, payment systems, Salesforce CRM migration, and over 50 web applications, IK had no established QA culture, no documented test cases, and no structured defect management. Our team was brought in to build quality engineering from scratch and hold the quality bar across every product domain simultaneously.

Impact

Before and after QAble

Before QAble

With QAble

No QA process or testing culture in place

End-to-end QA process built and embedded across all projects

Critical and high-priority bugs reaching production

Zero critical or high-priority defects allowed into production

No structured defect management or triage process

Defect management calls conducted across all active projects

No test cases written or maintained

Full test case library created and managed in Qase

No reporting on QA activities or quality trends

Daily, weekly and monthly QA reports delivered consistently

Product requirement ambiguities causing late-stage defects

Requirement ambiguities raised proactively in daily standups

No PII, RBAC, or security testing performed

PII protection, RBAC, and security testing implemented

AI interviewer and voice bot outputs unvalidated

AI mock interviewer validated for accuracy and reliability

CRM migration executed with no QA sign-off or data validation

HubSpot to Salesforce migration fully validated, zero lead loss

Analytics and event tracking unverified across domains

BigQuery and Metadata analytics tracking verified across all domains

No cross-browser or mobile device testing

Cross-browser and real-device mobile testing established

No automation, entirely ad hoc and manual

Automation pilot launched via CodeGen
Our approach

Our engagement

Our QA engineers joined InterviewKickstart when there was no testing infrastructure in place, no test cases, no defect process, and no quality visibility across releases. We built everything from scratch: designing and maintaining the full test case library in Qase, establishing sprint-aligned execution cycles, and embedding into daily standups and defect management calls across every active project. No high-priority or critical defect was allowed to reach production, and the team consistently went beyond regular working hours to meet tight deadlines without compromising quality.

A major initiative during the engagement was validating IK's CRM migration from HubSpot to Salesforce. This required end-to-end validation of lead creation, field mapping, campaign attribution, BigQuery event tracking, and Metadata verification, across all three audience domains (Learn, Organic, and India). We tested every lead generation touchpoint: webinar and masterclass registrations, multi-step forms, exit intent forms, country-specific flows, duplicate handling, and thank-you page confirmations, ensuring zero lead loss during the transition.

The scope extended across a technically diverse product portfolio, AI mock interviewers, VAPI voice bots, NLP chatbots, payment and payroll systems, PII and RBAC security validation, Salesforce enterprise workflows, and 50+ WordPress web applications. Cross-browser and real-device mobile testing (Chrome, Firefox, Edge, Safari, Android, iOS, BrowserStack) caught device-specific defects that would otherwise have impacted users. Full transparency through structured reporting and proactive communication built lasting trust with both developers and senior management. As the engagement matured, we initiated a CodeGen automation pilot to reduce manual regression overhead.

Engagement highlights

QA process built from zero to production-ready
Zero critical defects reached production
AI and voice bot outputs validated end to end
HubSpot to Salesforce, zero lead loss
PII, RBAC, and security testing implemented
Daily, weekly, and monthly reporting cadences
Services provided

What QAble delivered

Services

01

AI and voice product testing

We validated IK's AI mock interviewer across conversational accuracy, response quality, and user interaction flows for both HR and student login personas. Scenario-based testing and feedback analysis improved AI interviewer behaviour and realism. We also tested the VAPI-powered voice bot for performance and reliability, and conducted functional and usability testing on the NLP support chatbot, identifying conversation flow defects, response inaccuracies, and integration issues that directly improved the end-user experience.

AI mock interviewer validated
VAPI voice bot tested
NLP chatbot flow defects identified
HR and student personas covered

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