Ani Sargsyan's LinkedIn Strategy, Senior QA…

💨 Smoke Testing vs 🧠 Sanity Testing Smoke Testing checks if the new build is stable for further testing. Sanity Testing verifies that recent changes or bug fixes work correctly. 👉 Smoke = broad &…

LinkedIn post image: 💨 Smoke Testing vs 🧠 Sanity Testing

43125 viral

Software Testing5 months ago

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☕ A little truth about QA... “When something breaks in production → ‘Why didn’t QA catch it?’ When everything works smoothly → no one says a word.” Relatable? 😄 Behind every successful release: 🔍…

LinkedIn post image: ☕ A little truth about QA...

14022 viral

Software Quality Assurance5 months ago

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I’m currently exploring new opportunities and looking for something interesting, challenging, and growth-oriented. So I’d love to ask my network: What matters most when choosing your next job? 🔘 S…

9312 viral

Career Development5 months ago

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A production issue I’ll never forget as a Senior QA 👇 A few years ago, I was working on a complex platform (APIs, integrations, multiple environments — the usual “fun” setup). Everything looked…

LinkedIn post image: A production issue I’ll never forget as a Senior QA 👇

9112 viral

Software Testing5 months ago

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Cheap option = character development 😂

6101 viral

Personal Development5 months ago

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Topics & Content Focus

Primary Topics

Risk-based QA strategy: validating business rules, not just UI correctnessAI-assisted testing with human-owned truth (context, acceptance criteria, reproducibility)Quality culture and engineering leadership: trust built through shared evidence

Secondary Themes

Test automation reliability: flaky suites, observability, log alignmentMobile monetization risk: subscriptions, regional pricing, payments/points integrityTest environment hygiene: data drift, environment drift, changing requirements

Industry Focus

Software Quality Engineering for product teams (mobile + web)Test Automation / QA Leadership in SaaS-style product developmentAI-in-Engineering workflows (agent demos, auto-generated tests) with governance

Content Categories

Contrarian engineering leadership takes (myth-busting 'green dashboards')QA war stories framed as business risk preventionActionable process loops and operating principlesTactical test strategy guidance (context folders, critical user paths, repro steps)

Performance Insights

11.77777777777778%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

AI-first skepticism grounded in QA fundamentals (reproducibility, validation, context)Quality leadership narratives (trust via shared evidence, observability, worthy rival framing)Risk-based testing that exposes hidden business impact behind 'working' flows

Virality Signals

Share-worthy framing when QA is tied to revenue and organizational trust (not just correctness)Contrarian positioning against hype cycles (AI demos vs broken foundations)High-contrast language ('false confidence', 'fail faster') that travels well

Structure & Quality

180

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.82/10

Uniqueness Score

Common Hooks

Confession-to-lesson hook (a mistake or surprise outcome that flips expectations)Contrarian slogan hook ('Everyone wants X, almost no one wants Y')High-stakes business-risk hook (bug that 'quietly' impacts revenue/trust)Authority-through-specificity hook (named tools/processes like Playwright, logs, repro loops)

Common Endings

Principle-style closer (e.g., QA owns truth; trust = evidence under pressure)Reflective question that invites peer comparison ('What is your...?' / 'Where is your... hiding danger?')Reframing QA from checking to protecting (user + business)

Value Delivery Methods

Turns testing into executive-relevant risk language (revenue, trust, release confidence)Provides repeatable operating loops (observability, single source of logs, user-story repro, joint review)Teaches 'context as strategy' for AI tooling (rules, risks, critical paths as inputs)Surfaces non-obvious bug classes (business logic exploits that look 'normal')

Formatting Style

Short line breaks for punchBulleted lists and checkmarks for proceduresVisual separators (e.g., em dashes/section breaks) to create cadenceContrast markers (green checks vs red crosses) to dramatize false confidence

Audience & Tone

YES

Question Usage

0.2%

Response Rate

Detected Tone

Practitioner-authoritativeSmart-casual expertContrarian but constructiveRisk-and-trust orientedOperationally specificsemi-formalfirst-person

Interaction Style

Invites reflective replies rather than debate (self-audit questions)Uses shared enemy framing (instability, drift, false greens) to unify practitionersSignals practitioner credibility to attract peer-level comments (engineers/QA leads)

Community Building Signals

Creates a common vocabulary (truth, evidence, worthy rival, green dashboard danger)Encourages process benchmarking across teams (how others reproduce, log, review failures)Positions QA as cross-functional partner (dev + QA aligned around evidence)

Writing Style Patterns

Content Strategy

Hook: Confession-to-lesson hook (a mistake or surprise outcome thaTone: semi-formalCTA: Diagnostic question (forces readers to audit their

Writing style breakdown

I used to think QA was about finding bugs.

I was wrong.

I realized this during a high-stakes release for a fintech app.

The automated suite was green.

The manual smoke tests passed.

The team was ready to celebrate.

But I had a nagging feeling about the edge cases.

I asked myself

What happens if a user loses internet connection exactly when the 'Confirm Payment' button is pressed?

So I tested it.

I triggered the payment and toggled Airplane Mode.

The app spun for a second, then crashed.

When I reconnected, the money was gone, but the user saw an 'Error' screen with no record of the transaction.

It wasn't a UI bug.

It wasn't a performance issue.

It was a data integrity nightmare.

The result?

❌ Potential for thousands of support tickets

❌ Loss of user trust in seconds

❌ Financial reconciliation chaos

We delayed the release by two days to implement a robust retry logic and transaction status check.

The lesson I learned

A green dashboard doesn't mean the product is safe.

It just means the tests you wrote didn't fail.

QA is not a checkbox.

It is the process of protecting the business from the things nobody thought would happen.

How often do you step outside the 'happy path' to find the bugs that actually matter?

#QA #SoftwareTesting #Fintech #QualityAssurance #TestingMindset #SoftwareEngineering

Ani Sargsyan

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post