DEV Community: Stephen jeyaseelan

No OKR Software Is Brave Enough to Show You Who's Failing. Here's Why.

Stephen jeyaseelan — Tue, 24 Feb 2026 10:55:46 +0000

No OKR software on the market is brave enough to show you who's falling behind.

Which team is failing. Which department is dragging the company off track. I've been looking for this software for years and it doesn't exist.

I'm not saying OKR software should only expose failure. It should show the full picture who's crushing it, which teams are delivering, and which ones are sinking.

But from my experience using more than 20 OKR tools, paying anywhere from free accounts to $1,000 a month for a single seat with dedicated support, none of them showed me the truth.

The Most Overpaid Software in Your Company Is Your OKR Dashboard.

Stephen jeyaseelan — Tue, 24 Feb 2026 10:53:20 +0000

The most overpaid software in your company is not your CRM. It’s not your project management tool. It’s your OKR dashboard.

And it’s not overpaid because the software itself costs a lot. Let’s say you’re paying $20 or $30 per seat. 100 people in your company using it.

That’s

$24,000 to $36,000 a year. Not cheap, but not insane either.

But if you think that’s the only cost you’re paying, you’re completely wrong.

Your Company Doesn’t Have a Strategy Problem. It has an OKR Silence Problem.

Stephen jeyaseelan — Tue, 24 Feb 2026 10:52:42 +0000

You hire people from top colleges and universities worldwide. Smart, capable, ambitious people.

And when something goes wrong, when a goal is off track, when a deadline is going to be missed, when a key result is clearly not going to land, they choose silence.

Not because they’re lazy. Not because they don’t care. But because in most companies, staying silent is safer than speaking up.

The Week 3 Pattern: Every OKR Initiative Dies the Same Way.

Stephen jeyaseelan — Tue, 24 Feb 2026 10:50:08 +0000

When we finished the ShiftFocus MVP, the first thing I did was give it to our own team. My marketing agency has 15 people, 10+ clients. Every client has its own objectives.

Every objective has main outcomes. Every team member is assigned to multiple clients. If any team was going to stress-test an OKR enforcement tool, it was mine.

And everyone was excited. The senior team leads set up their objectives for the year.

Junior marketing executives got their primary outcomes assigned. People were logging in, exploring, and setting things up.

Week 1 felt like confirmation that my own team was using the product I built.

Week 2, the first real check-ins happened. Senior team members updated their progress.

They checked in on their main results, marked what was done, and flagged what was blocked. I was genuinely happy. This is working, I thought.

But then I observed something.

After 200 Employees, Execution Breaks. Here's What Replaces 'Trust the Team.'

Stephen jeyaseelan — Mon, 23 Feb 2026 11:55:01 +0000

Once your company begins to grow out of the casual teamwork stage, execution monitoring becomes difficult. When there were 50 people in the office, you could easily walk around and see what everyone was doing.

But now that you have teams working across various departments and time zones, you don't really get to see what's going on anymore.

You are keeping track of progress through status updates that say everything is going well until a big deadline is missed, a product launch is delayed by three months, or an important customer deal fails because three different teams didn't know they were getting in the way of each other.

This is not your fault, and you didn't fail in trying. The systems that worked well before can't manage the complicated tasks you're facing now.

You’ve brought on skilled workers, put money into project management tools, and increased the number of meetings you hold. Still, you find it harder to see if your company will meet its promises.

The difference between what your dashboards display and what is really happening has grown very large. You are making decisions worth millions of dollars based on information that is already outdated by the time you receive it.

The CEO Found Out the Quarter Was Lost in the QBR. Not in Week 3 When It Actually Broke.

Stephen jeyaseelan — Mon, 23 Feb 2026 11:52:28 +0000

Your leadership team says that everything is green across the board. However, the twist to this scenario is that three of your best employees are secretly seeking to leave the company.

Most SaaS leaders learn about team workload visibility issues in the same way – when burnout drives someone to resign, or when performance dips unexpectedly.

You look at the dashboards that indicate the rate at which tasks are being completed, the velocity of the sprints, and the time it will take to complete the project. All seems to be fruitful.

Your teams met their deadlines. There are no red flags in stand-ups. Then a key employee experiences burnout, or an entire team fails to meet a critical deadline. That’s when you know the warning signs were never there to begin with.

*Teams Look Busy, Productive, and "Fine"
*
Your engineering team meets all its deadlines. Your sales team records all their calls and updates their deals. Your customer success team is responsive to support tickets in a timely manner. By all the numbers you're keeping track of, everything is looking great.

But here's the problem. That's just an illusion. Finished work doesn't tell you how many tasks are piling up.

Hitting sprint goals doesn't tell you that your senior developer is doing twice the mental load of everybody else. Fast response times don't show that your customer success lead is working until midnight to keep those numbers up.

Most tools tell you what got done. They don't show you the pressure that is building up behind the scenes. You see the results, but you don't see what it took to get there. That is the gap where burnout starts to grow.

The numbers back this up. Gallup research found that 76% of employees are burned out at least occasionally.

Even worse, 28% say that they feel burned out "very often" or "always."

The cost is huge.

Burned out employees can cost companies $3,400 to $14,000 for every $10,000 they earn. That's because they're less productive and more likely to leave.

Why Your Execution System Worked at 50 People and Collapsed at 200

Stephen jeyaseelan — Mon, 23 Feb 2026 11:50:12 +0000

SaaS execution predictability collapses after the 200-employee mark, because informal visibility systems fail at scale. When you have 50 employees, you can track execution via Slack messages and hallway conversations.

When the company has more than 200 employees, those same methods give a false sense of control while the essential work covertly goes off the rails, revealing the absence of a reliable SaaS execution platform. The transition takes place more rapidly than the majority of leadership teams anticipate.

You’re in your second or third round of funding, hiring in five different departments, and it all feels like controlled chaos. Then your Q3 revenue target falls short by 18%. The launch of your product is delayed by three weeks.

Your sales team is complaining that they were not provided with what they needed, and the engineering team is swearing that they delivered on time. No one could see it coming, yet its impact is felt by all.

Your Forecast Said 'On Track.' Reality Said Otherwise. What Went Wrong?

Stephen jeyaseelan — Fri, 20 Feb 2026 11:16:07 +0000

Execution Forecasting Software usually breaks down in the middle of the quarter because the forecasts are based on assumptions that easily collapse when confronted with reality.

Leadership teams make projections about the outcomes based on what they see in the first week of the quarter on capacity, priorities, and pace but then those forecasts disintegrate as workloads shift, dependencies fail to deliver on timelines, and the velocity of execution slowly declines.

This is something that you have probably seen: all seems to be well in week four, then suddenly your revenue target for Q2 is at risk by week nine, and no one can explain when or why the forecast broke down.

This state of affairs is not necessarily because of poor planning. It concerns a fundamental misalignment between the way in which predictions are generated and the manner in which they are implemented.

Your teams are working hard, your dashboards are showing good progress, but the hard work is not moving forward at the pace that was anticipated.

By the time you become aware that your forecast has failed, you are already in a position of being behind, trying to fix the quarter instead of managing it effectively.

Execution Forecasting Doesn't Work Because It Trusts Self-Reported Data

Stephen jeyaseelan — Fri, 20 Feb 2026 11:04:19 +0000

Most execution forecasts fall apart not because the numbers are wrong, but because the assumptions inside execution forecasting software stop being true before anyone notices.

At SaaS companies, leadership teams watch in shock as their quarterly plans dissolve in the final three weeks of the quarter, completely caught off guard by problems that had been quietly building up for months already.

The problem usually isn't bad planning.

The problem is that traditional forecasting software attempts to treat execution as a mathematical equation, but in reality, execution is a constantly evolving, live system that changes daily.

You've been in this situation before, I'm sure of it.

Your team is humming along, giving you regular green status updates right up until week 8 and then - just like that -everyone is suddenly stuck on yellow and red by week 10.

Those revenue projections that looked rock solid on Monday in the leadership team meeting have completely fallen apart by Friday.

And as the days tick by and you're stuck dealing with missed deadlines after missed deadlines, you find yourself getting more and more frustrated, asking the same maddening question over and over: "Why on earth didn't we see this coming?"

The real reason lies in how these execution forecasting software are actually built and maintained in the first place.

They're designed to make predictions, but on the flip side, they completely ignore what's really going on with the actual execution of these plans.

On Track' Is the Most Dangerous Status in Your Dashboard

Stephen jeyaseelan — Fri, 20 Feb 2026 11:01:44 +0000

Just about every SaaS leadership team believes that execution tracking software is good since all the dashboards are green. The weekly reports state that the projects are “on track” and the project leaders are confident.

Then something snaps. A major project fails just a few weeks before the deadline.

A product launch is delayed by several months. The set revenue targets have not been achieved.

In that moment, the feeling of control is lost. You have already witnessed this.

On Friday, everything seemed okay. The team leaders reported that the progress was smooth. The project tools showed no warnings. Then comes Monday morning.

A key deliverable will not meet the deadline. Several teams are being blocked due to the presence of hidden dependencies. The plans for the quarter need to be reconstructed.

What are the reasons for failure?

The answer is not a comfortable one, but it is a definite answer. “On track” doesn't mean what you think it means.

Your Team Reports Green Every Week. Your Results Say Red Every Quarter.

Stephen jeyaseelan — Fri, 20 Feb 2026 10:58:23 +0000

Most SaaS leadership teams think they have execution under control because their dashboards are green.

They keep tabs on tasks, chart progress and hold teams accountable.

But somehow, quarterly objectives still fall between the cracks and by the time leadership figures out that something is broken, it’s far too late to course correct.

The hard truth is, traditional execution tracking software wasn’t made for the complexity of today’s B2B SaaS businesses.

These apps are great for telling you what went wrong yesterday, but they’re in the dark about what is about to go wrong tomorrow.

Execution Tracking Works... Until SaaS Complexity Kicks In

When your company had 50 employees, keeping track of tasks was simple.

You could easily tell who was working on what, the deadlines were clear, and any delays were easy to spot.

As your SaaS company grows beyond 200 employees, a key change takes place.

Your working environment turns into a network of connections between different parts. The product requires engineering. Engineering requires product specifications.

Sales require marketing materials. To sell a product, marketing requires its features.

To ensure customer satisfaction, we must fix bugs at the same time we develop new features.

The success of one team relies on the work of another team, but old tracking tools often see each team as separate from the others.

Research from McKinsey shows that 70 percent of change initiatives do not meet their goals.

The main reason for this isn't bad planning; it's the lack of clear execution. Your teams aren't struggling because they are lazy or not skilled.

They are struggling because the hidden connections between their work are not obvious until one of those connections breaks.

I Spent $60,000 on an EOS Consultant and $500/Hour on OKR Setup. Both Failed. Here's Why.

Stephen jeyaseelan — Fri, 20 Feb 2026 10:50:55 +0000

I've Been in the Room. Multiple Times.

I've worked with more than 50 people trying to set up OKRs across companies. We paid $60,000 for an EOS consultant to handle and create our own EOS setup.

At another company, we spent $500 per hour for a consultant to build a 100% OKR setup from scratch.

The setup was always great. The problem was everything that came after.

$60,000 for Five Days of Excitement and a Folder of Templates

For $60,000, we got the EOS consultant for five full days. The whole day, every day, he talked about the EOS system, the vision, the traction, the scorecard, how everything connects. He gave us Excel sheets, trackers, templates, and reporting frameworks.

The deliverables were mind-blowing. Genuinely. When we received that folder, we thought this was going to change how we run the company.

It didn't.

Every spreadsheet, every tracker, every template they were all beautifully designed and completely worthless. Not because they were bad. Because the team was never going to use them consistently. We didn't know that in the beginning. We were too excited.

We thought the consultant's ideas, the trackers, the frameworks, that all of this was the answer. But frameworks don't execute themselves. People do. And people weren't doing it.