u/Appropriate_Tip_8546

Has anyone here reached a point where they got tired of freelancing and decided to build a business instead?

I'm a Power BI developer, and lately I've been thinking about what comes after freelancing. Don't get me wrong—I appreciate freelancing and it has been a great opportunity, but sometimes it feels like you're responsible for absolutely everything: sales, marketing, client communication, project delivery, support, and learning new skills.

One thing that keeps coming back to my mind is creating something that can be sold repeatedly instead of always trading time for money.

I've experimented a little with digital products. I created a few PMO dashboards, researched what project managers actually need, and even reached out to professionals for feedback to make the dashboards more useful. The dashboards received positive feedback and I made a few sales, but I quickly realized I knew almost nothing about product marketing, promotion, positioning, or building an audience. Eventually, I gave up on the idea.

Now I'm thinking about it again.

Over the years I've worked on many Power BI projects, especially dashboard redesign and modernization. I've helped clients improve dashboard usability, visual design, and data storytelling. In some cases I've also built reusable themes and PBIT templates. Those experiences made me wonder whether there is a way to create something more scalable—a product that solves a real business problem and can be sold repeatedly.

I also work with Power Platform solutions (Power Apps and Power Automate), so I've considered templates, accelerators, mini-applications, training materials, dashboard kits, and other digital products. The problem is that I'm not sure what people actually want to buy in this space.

For those who successfully moved from freelancing to entrepreneurship:

• What was your first product or business?
• How did you identify something people were willing to pay for?
• Did you start with services and gradually productize them?
• What mistakes would you avoid if you started over?
• If you're in the data/Power BI space, what products have you seen work well?

I'd love to hear real experiences from people who made the transition from freelancer to entrepreneur.

I had an interesting experience on Fiverr today and wanted to hear how other freelancers handle situations like this.

I'm only a Level 2 seller, so I'm still at the stage where I'd be happy to convert more leads instead of turning them away. I had a client asking for Power BI training. We initially discussed a 5-hour package for $100, but during the conversation the request changed to 8 sessions for the same price.

Before the meeting, the client asked to see examples of my dashboards. I sent screenshots, but during the call wanted to see them running in Power BI. Unfortunately, my laptop was low on disk space, so it took me a few minutes to open one of the files. That's on me—I should have had everything open and ready before the meeting.

What bothered me wasn't the delay itself but the communication. While I was trying to open the file, the client repeatedly said I was wasting his time, and then left the meeting before I could finish showing the dashboard. After thinking about it, I decided not to continue with the project.

I'm wondering how more experienced freelancers deal with clients like this. Do you give them another chance, or do you trust your first impression and walk away?

I know we all have to stay professional and prepared, and I could have handled the technical side better. At the same time, this interaction left me feeling like the client came into the conversation already frustrated and looking to direct that frustration at someone.

How do you decide when a lead simply isn't worth pursuing?

I'm building a Power BI dashboard for university enrollment leadership and would love input from anyone working in admissions, enrollment management, institutional research, or higher education analytics.

The admissions office currently reports on:

• Applications, admits, deposits, enrollments
• Funnel and yield analysis
• Territory performance
• Campus events and their impact on conversion
• Student profiles and test scores
• Financial aid, discount rates, and net tuition revenue

The challenge is that leadership wants access to a lot of information, but I don't want to turn the dashboard into a giant report filled with tables.

A few questions:

1. What are the most important questions your VP of Enrollment wants answered quickly?
2. How much detail do you show on executive dashboards versus analyst reports?
3. Do you keep detailed tables on separate drill-through pages or reports?
4. What metrics or visuals have proven most valuable for enrollment leadership?
5. If you could only have 4–5 dashboard pages, how would you organize them?

For those who work with enrollment reporting, would you rather have:

• A clean executive dashboard with drill-through pages for details, or
• Most of the detailed tables visible directly in the main report?

I'd appreciate any advice, examples, or lessons learned from real-world higher education reporting.

I've been working on an admissions/enrollment dashboard for a university and ran into a design challenge I'd love feedback on from experienced BI/dashboard designers.

The dashboard needs to combine:

• Enrollment funnel
• Student profile & demographics
• Academic profile (SAT/ACT, GPA, test optional)
• Recruitment/event impact
• Financial aid metrics (discount rate, NTR)
• VP/Executive reporting

The stakeholders currently use multiple reports, and the goal is to consolidate them into a small number of Power BI pages without losing important detail.

My struggle is this:

Some metrics clearly need to remain visible (mean SAT scores, academic profile, discount rate tables, goal variance tables), but if I try to include everything on one executive page it quickly becomes crowded.

How do you approach dashboards like this?

• Do you prioritize executive KPIs and rely on drill-through?
• Do you keep important tables visible even if the page becomes denser?
• How do you decide what stays on a VP page versus moving to a supporting page?
• Any examples of higher education, institutional research, or executive dashboards that handle this well?

Interested in hearing how more experienced designers balance information density vs usability in real-world projects.

I've spent most of my freelance career building Power BI dashboards and redesigning existing dashboards to make them more useful and easier to understand.

About a year ago, I started working more with Power Apps and the Power Platform. My first larger project was for a real estate company that wanted to move a complex Excel-based financial model into the Power Platform. We used Power Apps for data entry, Dataverse for storage, Power Automate for orchestration, and Python for heavy calculations.

More recently, I built an access management and tracking solution for a company using Power Apps and Dataverse. Managers could request access, departments could approve or deny requests, and everything was tracked with a full audit trail of who changed what and when.

I'm interested in building more business applications with Power Apps, especially solutions that replace spreadsheets, emails, and manual processes.

For those of you working with Power Apps professionally:

• What types of Power Apps projects are companies actually willing to pay for today?
• What business problems have you seen create the most value?
• If you were trying to build a portfolio of practical Power Apps solutions, what would you create?

I'm particularly interested in hearing about real business problems that are still handled through spreadsheets, email chains, or manual processes.

If you have an interesting use case, I'd be happy to chat. Feel free to comment below or send me a DM—I'm always looking for new ideas, learning opportunities, and interesting Power Apps projects.

I'd love to hear what kinds of business processes you think are worth solving with Power Apps.

I’ve been noticing more companies talking about AI lately, and I’m curious — are Power BI dashboards with AI features actually becoming more in demand for freelancers?

By AI features I mean things like:

• AI-driven insights
• forecasting/predictions
• anomaly detection
• chatbot/report interaction
• Python/R integration
• OpenAI or Copilot integration
• automated narratives/summaries

For those already freelancing in Power BI:

1. What types of dashboards are clients asking for most in 2026?
2. What skills helped you increase your rates?
3. What would you recommend learning next to stay competitive?

Current things I’m focusing on:

• Power BI
• DAX
• Power Query
• Power Apps / Power Automate
• Python
• API integrations
• dashboard design

I’m trying to become more than “just a dashboard builder” and move toward automation + AI + business solutions.

Would really appreciate honest advice from freelancers or people hiring BI developers.