11 Metrics To Help Assess Your Tech Team’s Productivity

A company is only as good as its workers. As a business owner or as part of the leadership team, it’s your responsibility to keep track of your staff and their performance—including their productivity.

You might first think to calculate hours worked or projects completed. However, with your tech team, efficiency isn’t always easily measured. We asked a panel of Forbes Technology Council members which factors to consider when evaluating your tech team’s productivity. Here’s what they had to say.

  1. Business Value

Try grouping tasks by business value rather than a feature. Filter this sorting by risk, dependencies and only then by story points. Doing this gives you metrics to track velocity against business value, rather than feature set. More importantly, it keeps the focus on the primary outcome that drives business value—customer success—including your tech team in owning that crucial outcome. – Michael McCormick, Salesforce.org

  1. Progress Toward A Single Focal Point

Setting up clear goals and key performance indicators (KPIs) then measuring ourselves against them is a huge part of productivity. When a company crosses the 20- to 25-person headcount, there has to be something that unifies the work to a single focal point. Setting that focal point and measuring our progress toward it is crucial. – Alon Muroch, Blox.io

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  1. Code Reusability

A tech team’s productivity will always be most influenced by its code’s reusability. A good piece of code is one that gets the job done today; a great piece of code is one that not only gets the job done today, but also continues to get it done in many different places day after day. The more modular and dynamic your code is, the more valuable and productive it can be. – Matt Kruczek, Tallan

  1. Technical Skills And Collaboration

As we move into the day and age of customer experience, in order to bring uniformity, technology teams should be measured on their technical skillsets and their behaviors as they collaborate with everyone around them to deliver the solution. Can technologists empathize with the users, and do they understand the emotional aspect of their solution? Can they do the work and relate with their customers? – Vilas Uchil, BullsEye Telecom

  1. Service Level Agreements

Productivity increases when the right Service Level Agreement, or SLA, is in place. Different IT services will have a whole host of KPIs that should be aligned with the company’s goals. These may focus on quality, efficiency, cost of service or something completely different. However, it is essential to set an SLA at the onset. – Mohamad Zahreddine, TrialAssure

  1. Individual Team Dynamic

As a leader, you need to understand the hard and soft skills within your team in order to maximize performance while encouraging a healthy company culture. This way, your employees will feel valued as you continue motivating them to go above and beyond expectations. – Abdullah Snobar, DMZ at Ryerson University

  1. Pain Point Elimination

Whether it is during the customer experience or the development/deployment process, almost all systems have pain points: procedures that are unnecessarily complex, difficult to perform or simply misunderstood. These bottlenecks are typically poorly implemented solutions. Identifying and removing these problems can go a long way toward improving both the customer experience and productivity. – Chris Kirby, Retired

  1. Healthy Conflict

Conflicts are a common problem that has a direct impact on productivity. It’s important to build an environment where everyone feels they are heard. Work toward resolving conflict in healthy debate and make the team understand the outcome is for the benefit of the company. Create a win-win situation or expect impacts on morale and reduced productivity. Have metrics around conflicts. – Sujeeth Kanuganti, Aira Tech Corp

  1. Lead Time

For companies that have shorter release cycles and need to move fast and be nimble, lead time is a decent measure of how your overall product development organization is functioning. A stable or decreasing lead time (for non-bug fixes) means that prioritization is happening, your backlog is being kept in order, the development and quality assurance teams are executing, and you’re able to deploy frequently and reliably. – Meetesh Karia, The Zebra

  1. Improvement With Each Sprint

Abandon the idea of absolute measurement. Instead, embrace an agile approach and let each new agile team measure their own productivity. The measurement isn’t important. What is important is that the agile team gets better every sprint. – Kurt Dykema, Twisthink

  1. Speed Of Learning

In an increasingly digital world with shorter product life cycles, classical productivity KPIs of tech teams are insufficient and shortsighted. The emerging factor that can predict the development of your team’s productivity is how fast they can learn new things to develop new products. Whether you want to keep your organization relevant or go agile or DevOps, the “learning” DNA is a must have

All Rights reserved for Expert Panel, Forbes Technology Council

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