Our Ideologies
(Unfiltered)

We will address the common objections in an honest and unfiltered tone and put them as it is. This isn’t an attempt to sell you on the ideologies and convince you otherwise, however, this is our way to put out our ideologies on which AnalyticsVerse was built and this would help you in understanding if we are a good fit for your team.

Common Objections

1. Why do I need AnalyticsVerse above JIRA dashboards, GitHub insights, or GitLab value stream analytics?

Inherently two tools built for completely different purposes will never be comparable, all these tools JIRA, GitHub, GitLab, Bitbucket, and Azure Repos -were built for different primary functions whereas AnalyticsVerse was natively built for looking at engineering productivity and identifying areas of improvements. All these tools will have limitations to the development data they have access to, and given the data is partial, the metrics and insights would also represent only half the truth.

JIRA can only access Git commits and pull requests if integrated, and even then, only the ones you link are displayed—merely as counts of commits, pull requests, and branches on a JIRA task. GitHub, GitLab, and Bitbucket, on the other hand, have little to no access to JIRA data, limiting their ability to provide comprehensive insights.

AnalyticsVerse is a true engineering analytics platform, that integrates with these tools, correlates them, and then helps you visualize development progress and productivity in the most concise and research-backed ways.

What capabilities set AnalyticsVerse apart from all these tools?

1. Value Stream Definitions

Value streams, product lines, services, and pods often span across repositories and boards, AnalyticsVerse helps you go above these limitations to define your value streams which truly starts being actionable. For example, repository-level analytics is useless for teams contributing across multiple repos, and board-level metrics don’t mean much when your team’s work is spread across boards and projects.

2. Engineering Excellence

AnalyticsVerse is not only a dashboard to view metrics, it is a way to strive towards engineering excellence by looking at benchmarks of elite teams, DORA metrics, setting goals and targets, and driving process changes by engaging your team in this process. No other tool like JIRA, GitHub, Bitbucket, etc. will help you achieve this.

3. Developer Productivity using SPACE metrics

Developer Productivity is more than a heatmap of commits and story points burned, it is about

   1. How satisfied your developers are?

   2. How well they can collaborate with other team members?

   3. Is your development flow frequently interrupted?

   4. Is your team able to deliver customer value, with the least amount of iterations at a high velocity?

   and many more… AnalyticsVerse was built on the ideologies of the SPACE framework and helps you look at developer productivity across the dimensions of productivity that matter and capture productivity in the truest sense possible.

Don’t get us wrong, we love JIRA, GitHub, and all other tools we integrate with for what they do primarily. And we even use a few of them. But AnalyticsVerse is a true engineering analytics platform that helps you identify areas of improvement and drive action to unlock higher productivity.

Go Above Jira, GitHub, GitLab  metrics

2. Is there a right way to capture Developer Productivity?

We aren’t saying Developer Productivity is 100% measurable, there are parameters of human productivity beyond the reach of any tool that exists today. That being said, this is not a binary problem. If we can’t measure it completely why even bother looking at it is not the right way.

Developer productivity has been important, and will always be important, if you look at developer productivity to figure out the highest or the lowest-performing individuals, you will never have success capturing it. If you look at developer productivity as an indicator of bottlenecks and try to resolve them, there is no doubt your team will be more productive.

And the biggest myth around developer productivity is that leaders who don’t trust their team use metrics to understand performance. This cannot be further from the truth. As engineering leaders, if you care about developer productivity and go the extra mile to measure it, it shows you care more about your team's well-being and performance and are willing to change processes for the betterment of your team.

We're not the only ones who believe this. The best-performing engineering teams use the SPACE framework to better understand productivity which AnalyticsVerse is based on and helps you with productivity metrics across all five dimensions of SPACE.

3. Whatever we are doing currently is working for us, why change that?

As the saying goes, “Change is the only constant.” and there is no avoiding it. We don’t believe in overnight productivity gains, continuous improvements are the only way to reach engineering excellence. This is one thing we recommend all our engineering leaders to look at, 1% improvement daily makes you 37 times better in a span of just 1 year. (1.01)365 = 37.8

When you say things are working for you we 100% believe that, but assuming there’s no room for improvement or a better way to look at and communicate engineering progress is not something any team should ever believe. Often adopting an engineering analytics platform like AnalyticsVerse will bring in a data-driven mindset shift, you will see the change in the way the team thinks, and how conversation moves from “I feel, I believe …” to “data shows …”

4. We are a really small team yet, why do I need a visibility tool when I am already aware of most of the things?

Every big thing starts small, and so will your team. If you are below 5 developers in your team, the value you will see out of our platform will be lesser, but if you try to incorporate a few things within your processes from the start, example figuring out how long it takes for a commit to reach production will help your team have much more streamlined processes in the future. If you are a team planning to grow in the future, irrespective of your current size you will need a tool that helps you improve your processes as you grow.

5. How can there be a one-size-fits-all platform, especially for engineering teams?

We agree, there isn’t. No two engineering teams operate in 100% the same way there are so many nuances that vary from one team to the other. However, what remains the same, is the ideology and frameworks on how you look at engineering productivity and work to improve it.

When you onboard for the first time, we run algorithms to best understand your process, like your sprint/iterations, how you estimate, how you do deployments and detect production failures, and many more, to fit the platform to your needs so that you get the most value out of it on day 1. And you are also free to customize these configurations as and when they change.

We also look at your historical data of 6 months / 1 year to give you customized process recommendations that are very specific improvements that you can make as a team.

6. I like the ideologies and metrics, why can't I build it myself?

You surely can, the Googles and Metas of the world build their internal tools to understand engineering and developer productivity. And you can be one too, if you have the extra bandwidth to develop this platform. If you think dashboards are just a one-time development effort, you are not thinking this through, with changing organization dynamics and processes you will have to continuously update the dashboards to reflect these changes.

The biggest advantage AnalyticsVerse offers aren’t just our dashboards—it's our ideology and understanding of what truly needs to be measured. We've faced these challenges alongside hundreds of engineering leaders and have helped them successfully overcome them.

We have seen a few organizations build this for themselves but then were never able to drive adoption across the entire engineering org and drive team engagement. Building a platform is just the first 50% and relatively easier part.

7. Measures cease to be effective when they become a target. (Goodhart’s law)

Absolutely. And measures should never be the target, measures should just be the means to evaluate a target but never the target. One ideology we use internally a lot is, “Are we changing this process for the metric to be better or is the metric measuring how well the process is performing?” If it’s the latter you are on the right track.

Let’s take an example metric as “pull request cycle time” if you measure this as a sign of development speed and productivity and want to improve on it. There could be two routes

  1. Can we improve PR cycle time by closing the PR quickly and then reviewing it later? Or skipping review as it was developed by a senior developer.
  2. Let’s try to break down pull requests in smaller sizes in no more than 200-250 LOCs to ensure they are reviewed quickly and efficiently

Which one is the right way? If it’s second then we are a good fit for each other. The right way is to let measures and metrics represent the efficiency of processes that we will work to fundamentally improve and not make measures our target.

8. It will take a lot of effort and time for productivity increases to be seen.

Yes, it will. We don’t sell productivity magic pills and are upfront about it. Productivity gains are a process. And based on your team size and culture it will take time for your team to adopt this new way of viewing development productivity.

And, not starting on this journey also will not take you anywhere. “Not immediately, but definitely” is one of our core ethos and we swear by it and work for it. Nothing is changed overnight, you have to believe in the process to see the other side of the rewards and benefits of this journey.

We are in it for the long-term gains, and if you are too, we are a great fit.

How our Customers drive Impact
Best engineering teams choose AnalyticsVerse to improve engineering productivity and outcomes.
Start Your Free Trial
AnalyticsVerse enhanced decision-making by delivering interesting insights on team and developer performance without adding process overhead
Jader Correa
Jader Correa | Ex-CTO
Appmax Logo White
AnalyticsVerse has helped us gain visibility into our engineering processes and enabled our entire team to have data backed conversations.
Roshan Hadal
Roshan Hadal | Sr. Director of Engineering
MoEngage Logo
AnalyticsVerse enabled us to bring standardization to our engineering processes, and measuring KPIs helped us identify which team can improve and in which areas.
Vivek Chhikara
Vivek Chhikara | Partner Engineering
Protium Logo White
DORA metrics and benchmarks has helped us keep a tab on our engineering health and has been instrumental in our conversations with leadership.
Sam Fernando
Sam Fernando | Head of Engineering
DiscoveryParks Logo White
Getting visibility on how teams and individuals are performing is key to lead a modern dev team, AnalyticsVerse helped us identify our bottlenecks and take action to improve on them.
Anuraag Guptaa
Anuraag Guptaa | VP Engineering
Maropost Logo White
AnalyticsVerse components Integrations BG
Integrations CTA BG
Integrations CTA

We Integrate with the Tools
you Trust

Look at the best engineering analytics platform that helps you drive engineering excellence and better business outcomes
Explore All Integrations

Don't Take our Word for it.
See AnalyticsVerse in Action for Yourself

Start Your Free Trial
No Credit Card Required
Upto 28 days free trial
Upto 1 year historical data
All features included