I’m trying to figure out how I’m going to support myself in this new AI age. I recognize what’s happening and I either will be in meetings all day discussing strategy and growth problems or need to learn how to code and execute the final strategy requirements in the system. I don’t like talking or thinking out loud and I don’t know how to code. My current role was getting final decision info from someone and documenting them and sending it to developers but with ai it can do that and the rest is merged between the two roles described above. I just don’t know what hard to pick.

I’ve got a feedback a couple of weeks ago that I’m pretty good at reporting things but I need to bring more of the analytical side to things.
It’s being tough because I work as a secondment in this company and I don’t have much access to certain parts of things that would aggregate more to my approach on certain issues.

I wanted to know how was your experience in doing this switch. What tools helped you? What would you’ve done differently?

I have a final interview for an entry level business/technical analyst interview next Friday and I am rly stressed because they said the interview will be more focused on situational/applied thinking/problem solving, like basically scenarios at work I could face. I have never done an interview like this before so I am really stressed. I have 0 clue how to prepare because I usually keep notes on the side but I feel like this is smth I’d need to memorize for. I have blown a 3rd interview many times in the past so I am feeling really hopeless. If anyone knows the most likely questions they’ll ask/how to answer, and how I should study please let me know

In high volume operations, one of the biggest constraint on business growth is almost always high stakes decisions sitting in a queue waiting on a scarce subject matter expert to review them.

We saw this firsthand working with an enterprise insurance provider processing thousands of commercial policy endorsements where their operational backlog looked like this: policy updates were sitting 4 to 8 hours in queue behind new business and every single endorsement took about 5 minutes of focused review from a licensed underwriter.

The specialist had to open the request, pull external regulatory safety registries and verify operating authority then check fleet safety scores and confirm loss history against internal policy guidelines.

Because qualified underwriters are expensive and difficult to hire, growing customer volume meant turnaround times got stretched thin creating friction with distribution partners and putting retention at risk.

Instead of treating this as a hiring problem, our team at Native (withnative) deployed an operational agent system that resolves decisions the moment they enter the queue and the moment a submission lands, an ingestion agent pulls the policy changes and an automated worker queries live government registries to pull verified safety inspection histories and operating status.

To guarantee zero regulatory risk with the agents don't make probabilistic guesses and the business guidelines are codified into strict deterministic rules so if the registry checks and coverage limits meet the established criteria, the system clears the decision in 23 to 40 seconds and writes the update directly into their policy admin system and logs an immutable audit trail.

If an endorsement fails a rule say there is an out of territory hauling route or a flagged inspection violation, it routes straight to an underwriter with a pre filled decision brief and the underwriter opens the file with the government data already pulled and the discrepancy highlighted and eventually a 5 minute manual investigation turns into a 30 second sign off.

Over 5 months in production, the system processed 4,224 decisions with 3,130 of them (74.1%) were cleared completely autonomously in under 40 seconds and queue latency dropped from 8 hours to under a minute, freeing up 49 hours of specialist capacity per month without adding headcount and accelerating $2.39M in policy revenue velocity.

If your operational workflows bottleneck around senior expert approvals, leave a comment and I can share the decision workflow and audit spec we used.

If anyone has been through the TDP, I really would appreciate any advice about the interview process and how it works because I want to be prepared if I can get the interviews.

I just got offered the HackerRank Online Assessment, and I think I can do pretty well on this since it gives you some time to complete it and you can kind of prepare for it in a way. I'm a rising senior in college, and I'll admit my programming isn't the best, but it's enough for a business analytics position. I just would like to know if there is any live coding with the recruiters or anything like that, because that is something I will definitely need to prepare for.

I have 1.5 YOE and ive realized SWE is simply not at all for me. I want to switch to BA — is there a certificate or anything I can do to increase my marketability?

Ive done SQL, Python, and some product management type work. Is this enough?

I'm a product designer by education, but my field has been hit pretty bad because of factors including AI. Business analyst seems like a good place to pool my efforts into so I'm considering gaining credentials in it. If you're in the field, I'd like to know how your experience was getting a job. Also, does my existing experience in UX design help in getting a job in the field in anyway?

Thanks in advance

Has anyone studied for ECBA using claude/ChatGPT alone? How did that go?

If not, what did you use

My background is a BS in IT, tier 1, tier 2, solo IT at a school, and now tech support at a larger company. My current team is locked to support, so I can’t get project or admin experience there.

What I gravitated toward is figuring out how something should work and fixing the process around it. At the school I picked and rolled out a ticketing system, fixed a messy onboarding and offboarding process, and made a laptop purchasing decision that helped balance the budget and what teachers needed. I enjoyed those far more than the technical side. I also like explaining things and helping people in a way where I can see the result. What drains me is deep troubleshooting, studying for technical certs, repetitive tickets. Working between admin, teachers and other staff to come up with solutions was rewarding.

I’m the main provider, so I can’t go much below about $55k. Earlier this year I was offered a county data manager school job (that had promise in going beyond that) at $41k, but had to turn it down because I couldn’t afford to make that little.

I’ve researched a lot of roles, like business analysis, PM, project and program coordinator, government program specialist, clinic operations, and training. The experience requirements and pay make the pivot look hard, and I’m not sure that sticking with IT is any easier. The leap from Tech Support to Sys admin is difficult as well and means getting more technical.

My current plan is to stay hirable in IT, keep my resume updated, and build toward something else on the side, maybe with CAPM or ECBA?

I’d appreciate any advice. Has anyone made a similar move and what worked? Is there a type of role I’m missing that fits what I described?

I thought about maybe volunteering might help, but I became pessimistic that it would, because how is that going to get me BA related experience? Of course volunteering for the sake itself is something I will probably start doing more, but the idea of it helping me career wise is less likely.

My current tech support role is very limited. Definitely expected to stay in my lane. I left the school, because it was a very chaotic environment and poorly run.

So idk what could help? CAPM or ECBA without more experience to put on my resume? I partly want out of Tech focused roles, so even if BA roles that are tech focused would make more sense, I am not sure that is what I want.

When I worked at the school finding those solutions and watching them get implemented was the most enjoyable thing I had done since graduating. It wasn’t about learning about technology, it was about the whole experience of defining the problem, researching, talking with stakeholders, finding solutions and proposing them, and then seeing them implemented.

But my experience is a bit weak, definitely since I can’t really build on it at my current job.

Any Advice?

I just got an offer to intern for Capital One's Business Analyst role, but I'm stuck between Plano and McLean. Has anyone worked this role and want to share their input? Here's what I've weighed:

Plano:

\- I live in DFW, so it'd be a 30-40 minute drive and I can pocket the $5k relocation stipend

\- I don't really want to live at home for the summer, but my mom wants me to stay

\- Friends in DFW and Austin

McLean:

\- More project opportunities, HQ office

\- Higher cost of living, but I have the relocation stipend + I have a friend interning in the same role in McLean so we can share living costs

Is it smarter to just keep the stipend and stay in DFW, or is it worth relocating?

I'm a business analyst on a Mac and I log time in Jira on a lot of different tickets every day. I'm trying to automate as much of it as I can, and I keep running into the same wall: our Jira is self-hosted (Data Center), so most of the nice tools that only talk to Jira Cloud are out, and I can't get an admin to install a marketplace plugin.
What I'm thinking of building:
ActivityWatch (or Timing) runs in the background and records the active app, window title and browser URL. A small script picks out issue keys like ABC-123 from titles and URLs, adds meetings from my calendar, and for pages that don't have a key in the title (Confluence mostly) I'd keep a manual lookup table. At the end of the day it merges everything into blocks, rounds to 15 minutes and shows me a draft. Nothing goes to Jira until I approve it, and then it posts through the REST API with a personal access token.
I've looked at Daily, Planim Time and Cloky + Timing/Toggl. Each one misses something for me: either no Data Center support, or I still have to click a timer or answer a prompt, or there's no way to write the worklog back without a plugin.
So, does anyone actually run something like this? How well does matching window titles to tickets work in practice? I'm wondering how much time ends up unassigned and how often it guesses wrong. Also, is there an existing tool that does draft worklogs from activity and works with Data Center via PAT? I'd rather not reinvent it if so.
One more thing I'm unsure about is privacy. It's a work laptop and this records window titles and URLs, so I'd be curious if anyone ran into trouble with that.

I am 25(F) with experience as a sales executive for 4 years, I bring customer behaviour analysis, infield experience with customers(B2C) and user empathy.
I have completed Product Management Training from IIT Delhi, I did an interesting capstone project that helped me learn core basics. Now I plan to make 3-4 projects to add to my resume and transition into PM roles.

If you are a HR/Founder of a startup or someone who can help me in any way based in Delhi NCR/Gurgaon/remote and you are looking for a Product Management/Business Analyst Intern kindly DM me.
My expectations are to learn and work under a PM/Founder to have some expanded knowledge on the domain. As I lack the hands on experience. The market is pretty messed up and I am just hoping for the best.

I’ve felt a recent rise in “Business Analyst” roles that require the responsibilities and skill stack of a whole tech floor. Companies love dumping multiple roles on BA generalists and exploiting them until burnout.

I’ve been a BA for 8 years across 3 companies and with each year I am trained then expected to backfill for more roles that the companies should have hired more of.

I started as a BA doing requirements, user stories, flowcharts, and some data. Today, I am expected to lead exec level projects like a Sr. PMP, be a BI/data analytics expert, IT specialist, and now I’m also a software engineer committing Java code for our legacy software for backfilled (higher paid) devs, all for no extra pay. Many of my coworkers quit afterwards and say they are expected to be like that in interviews too just to get a new BA job.

Are we normalizing this massive silent exploitation from companies? Have you guys experienced this recently too?

If a platform already tracks employee hours and labor costs, adding payroll seems like it could make reporting more useful.

I would like to know whether having all that data in one place makes financial analysis easier or if businesses still end up pulling reports from different systems

Has anyone worked with a setup like this?

I’ve been working as a data analyst for about five months, and I’m struggling with the analysis part of the job. Sometimes, I feel lost when looking at the data, and I’m not sure where to start or how to approach the analysis.
I struggle particularly with exploratory data analysis (EDA), figuring out what to compare, choosing the right comparisons, and turning the results into meaningful business insights.
I have an analysis to work on right now, but I’m not sure how to approach it or how to identify useful insights.
Do you have any frameworks, methods, or step-by-step processes you follow when analyzing data? How do you decide what to investigate, which metrics to compare, and how to turn your findings into actionable business insights?
I’d really appreciate any advice, resources, or examples from your own experience!

All the places I've worked, good or bad, none of them did Exit Interviews. And in most of the instances I've seen, once an employee give their 2-weeks notice, the company lets them go early. Why not try an exit interview? Why not ask an employee what was good and what was bad about working at your company, in an interview where they will be honest, because there will be no repercussions.

Employees are just as important as customers. Employees fulfill your customer needs. You want the data from potential lost customers that went elsewhere, why not collect data from lost employees. What have you got to lose?

During the 2026 Malaysian Grand Prix at Sepang, wet-weather conditions exposed an unexpected interaction between several software-controlled power management rules. Multiple cars lost propulsion during formation laps, forcing the race start to be abandoned while an emergency software update was developed and deployed.

What makes this interesting is that there does not appear to have been a single "bad requirement."

The system contained several reasonable business rules:

• Reduce power deployment in wet conditions.
• Restrict power in specific track sectors.
• Trigger protection mechanisms under abnormal operating conditions.
• Optimise hybrid energy usage.

Individually, all of these requirements made sense.

The problem emerged when heavy rain, low grip, unusually low vehicle speeds, sector restrictions, and protection logic all occurred simultaneously. The resulting behaviour had apparently not been anticipated or fully tested.

As BAs, we often spend significant effort eliciting and validating requirements individually. However, this incident is a reminder that some of the highest risks exist at the intersection of requirements.

Some questions this case raises:

• How often do we explicitly analyse interactions between business rules?
• Do we maintain an assumptions register?
• Are edge cases and operational scenarios included in test planning?
• Do we model what happens when multiple "unlikely" conditions occur at the same time?

My key takeaway:

The software did not fail because a requirement was wrong. It failed because several correct requirements interacted in a way nobody anticipated.

This is a fascinating example of why scenario analysis, assumption analysis, state modelling, and edge-case testing remain valuable BA techniques, particularly in complex or highly automated systems.

Sources: (I've been prevented from adding links).
Formula1 Live Pulse
The-Race

I’m curious how other Business Analysts structure and maintain their business specifications in practice.
Do you use Confluence, Word, SharePoint, Git/Markdown, or something else?
And more importantly, what does the structure of your specification look like?
For example:
● Business context / problem statement
● Goals and scope
● Business requirements
● Functional requirements
● Business rules
● Use cases / user journeys
● Acceptance criteria
● Process diagrams
● Data requirements
● Non-functional requirements
● Open questions / assumptions
I’d be particularly interested in real-world examples of structures that work well and how you keep the documentation maintainable as the system evolves.
What does your BA documentation setup look like?

Hello guys, I come from a process/project engineering background and got a job as a BA for a IT consulting firm.

Now after months of bench time I got my first project. And its big (i guess?). The client wants to migrate one part of their legacy system into a modern cloud solution. The aim is to gather the most critical system functions because the timeline was shortened.

I have a lot of theory knowledge about BA methods, mostly through books but none practical experience. And of course the imposter syndrome is kicking in because I will be the sole BA and the IT industry is a relatively new field to me.

I know that the first task would be to clarify the stakeholders and know more about the legacy system, why they want to migrate it and what, prioritize it for the most critical functions. I heard about data mapping etc.

But since its my first IT project, Im missing a kind of a roadmap and which tools are are the best for a legacy migration project. Whats your experience?

I’m looking for some honest advice from people who have transitioned from QA to Business Analyst roles.
I have around 7 years of experience as a QA Engineer, primarily in manual testing, with experience in API testing, database testing, and some automation/Playwright. Over the years, I’ve also worked closely with developers, product owners, and business teams, participated in requirement discussions, understood business workflows, identified gaps, and worked on acceptance criteria and functional scenarios.
For a long time, I thought my next step should be moving completely into automation. But honestly, I don’t feel confident enough to make automation my primary career path. I have automation knowledge and have worked with it, but I don’t see myself becoming a full-time automation engineer.
A few people I’ve worked with have actually suggested that I consider Business Analysis, because they feel I have good communication skills, understand applications and workflows well, and am good at understanding requirements and asking questions.
So I started seriously exploring the BA path about two months ago.
I’ve been learning about BA responsibilities, requirements gathering, BRDs/FRDs, user stories, acceptance criteria, process flows, stakeholder management, gap analysis, etc. I’ve also been trying to reposition my resume and LinkedIn profile around the QA + Business Analysis combination rather than presenting myself only as a tester.
But the problem is: I’m getting almost no interviews.
I’m also currently serving my notice period (was forced to put down my papers as part of silent layoff) and have roughly 20 days left, so the situation is becoming a little stressful.
I’m wondering if I’m approaching this transition incorrectly.
Should I:
Apply for Business Analyst roles directly despite having a QA title for most of my career?
Target QA/Business Analyst, Functional Analyst, Product Analyst, or QA Analyst roles as a bridge?
Focus on companies where domain knowledge + QA experience is valued?
Get a BA certification such as ECBA/CBAP?
Completely change my resume to emphasize BA responsibilities rather than QA?
Or should I continue in QA and gradually transition internally?
For people who have successfully moved from QA → BA, what actually helped you get your first BA interview?
Also, if you’re a recruiter/hiring manager, I’d really appreciate hearing what might make a 7-year QA profile look unqualified for a BA role, even if the person has significant functional/requirements experience.
I’m not looking for reassurance. I’d genuinely appreciate honest feedback on what I should change in the next 20 days.
Thanks!

I’m considering starting a small rental property business and would like some honest opinions from people who have experience with real estate or property development.

A relative owns a plot of land in a locality where rental demand and rents are fairly high. They currently live in an old house on the property.

My idea is to redevelop the property into a small multi-storey apartment building. My relative would live in one of the apartments, and the remaining apartments would be rented out.

The construction would be financed through a loan, and the rental income would be used to pay the loan, give my relative an agreed monthly return, and hopefully leave some profit for me as well.

On paper, it seems like it could turn an underutilized property into a source of long-term income, but I know there are probably a lot of things I’m overlooking, especially since this involves both debt and family.

For those who have experience with rental properties or similar projects, does this sound like a viable business model?

What are the biggest risks or problems you see with this idea? Would you personally consider doing something like this, or would you stay away?

Hi! My dev co-workers are in a constant state of existential crisis because of the value AI is adding to their workflow and how quick they can develop now. Our business model is slowly falling away under our feet, so we're trying to adapt, but it is quite worrying.

Our new hires are so incredibly good with AI, because it's all they've known when in college. They do SO much work in SO little time. Features we used to work months on are done in weeks now. Great for productivity though and it's very inspiring to see.

I wonder how you are adapting and using AI in your work as a BA.

This is roughly my workflow:

• I have all the important LLM's loaded up in VS code (mostly Claude, sometimes GPT Terra when I'm low on tokens) and I make my Epics, features and write all user stories in the context of the project. I barely write user stories myself, since the agent knows my style of writing and the preferences of my team.
• I have few agents and a lot of context .md files. I let the agents read this context before they give an answer or write a user story/make documentation.
• The agents pretty much take care of the rest in a consistent way and can make the documentation, flows, etc.
• I automatically transcribe meetings and these are automatically loaded into my workflow, so I don't really need to take notes anymore. The agents know of this context, who said what, etc.

I see BA's as problem solvers, but also the person who knows the application and is good in documentation and process mapping. With proper use of AI, all these administrative tasks are easily offloaded. Manually writing documentation and user stories is mostly going to be replaced, so that means we can focus on other things. I lean on my soft skills and speak with the business a lot about what features they want, but it's going to be a matter of time before they just write their feature requests themselves.

The main question:

AI isn't going away and it's going to get even better, so how do we use it to show our worth and make us harder to replace? What makes a good BA in this time and what skills do we need to develop?

Being BA with engineering background, doing data analysis and mainly focused on business side of work. I feel like I don't have an edge, even the developers nowadays seem to be taking requirements and questioning edge cases in features. In my perspective becoming a BA is very easy given you have a claude account and some sense of communication.

Which is fearing me that if i don't have an edge, i won't be able to change jobs easily or in future won't have anything for backup incase Ai takes up my job.

To which i feel a specialization in data and ai might help me become distinctive and get job market freedom. Any suggestions please.