Planning

I recently experienced a layoff at Innovaccer, where I worked for the past few years. This was the third round of layoffs in just four years, which raises serious concerns about the company's long-term vision. The recent changes seem to stem from their ongoing struggles with AI transformation, as their products are currently under scrutiny due to two lawsuits related to significant financial losses for clients. On May 15th, I, along with many others, was abruptly locked out of our systems after receiving an email at 7:30 AM IST. The lack of communication and support during this transition was alarming. It felt like there was no plan in place to help employees adapt to the new AI platform. Instead of providing a smooth transition, the company chose to cut jobs suddenly, leaving remaining employees feeling overwhelmed and under-resourced. After speaking with some colleagues who stayed on, it's clear that the team is now severely understaffed and lacks the necessary AI support. This has created a sense of panic among us, as we're unsure how to proceed without proper training or guidance. There are growing concerns about how Innovaccer can position itself as AI-ready when they struggle with basic operational tasks. Many clients are questioning whether they can trust Innovaccer's AI tools after experiencing issues with their data engineering capabilities. Overall, the leadership's inconsistency in hiring and firing has left us all wondering about the company's future.

I recently experienced a layoff at Innovaccer, where I worked as an analyst. This was the company's third layoff in four years, which raises serious concerns about their long-term vision and stability. The company is currently undergoing an AI transformation, but their products have been under scrutiny due to two lawsuits, which indicate that clients have lost millions due to failures in their services. On May 15th, I, along with many others, was locked out of our systems just after receiving an email notification at 7:30 AM IST about the layoffs. The suddenness of this decision left many of us in shock, especially since there was no transition plan for employees to adapt to the new AI platform. Ideally, the company should have provided training and a reasonable timeframe for employees to shift into AI roles rather than abruptly cutting staff. After speaking with some colleagues who remained in the department most affected, it’s clear that the team is severely understaffed and lacks the necessary AI support. This has created a sense of panic among the remaining employees, as they are now expected to manage without the knowledge and resources that were previously available. It raises several questions: How can Innovaccer claim to be AI-ready when they struggle with basic operational issues? Can clients trust their AI tools after experiencing failures with their data engineering products? And is the leadership capable of making sound decisions given their history of frequent layoffs?

I am at the last year of completing my graduation in the degree of Bachelors of Computer Science. Will start my job search after a successful completion of the degree.

I was laid off twice in last 8 months. Top performer. Recent one drowned me alot and exit was brutal.

Now, several recruiters ghosting application or low balling than my current salary.

one opportunity is @ final rounds

The job search is a grind. Bidding on platforms feels like a "pay-to-play" cycle with no replies. I’m logging my journey on LayoffLog.com to track apps and block scams. Turning the search into a system—from setback to setup. Join me there!

Started applying to the jobs after a week of rest

Focused mock interviews on concise communication and trade-off framing.

Prepared portfolio walkthrough with one healthcare and one marketplace analytics project.

Rebuilt weekly schedule: networking mornings, interview prep afternoons, applications evenings.

Committed to daily routine: one application, one outreach message, one interview prep block.

Set rule: no application without checking company domain, recruiter profile, and legal entity first.

Prepared STAR stories focused on shipping under tight deadlines and collaborating with engineers.

Built a 6-week search plan: 5 tailored applications per week and one networking call every Friday.

Created a spreadsheet to track role, referral source, stage, and response time.