How Tech Companies Use Individual Development Plan Examples to Improve Performance and Career Progression

Individual Development Plans (IDPs) were created to improve employees’ skills and make the workplace more productive. However, they have largely fallen short of their intended benefits. HR may create the template; managers may take time to fill it out during reviews; and employees may submit no more than one new goal (e.g., to improve communication skills, improve leadership skills, or learn cloud architecture). Once filled out, everyone forgets about them in 6 months, and the cycle repeats.

Clearly, IDPs in their current template do nothing to improve employees’ skills.

In the tech world, a good IDP is closer to what employees do day-to-day. It connects skill development to employees’ work and answers a practical question: what can employees improve on, and where will they demonstrate those skills in day-to-day work?

For instance, in order for a back-end developer to become a Senior Developer or even a Staff Engineer, they can’t be given abstract learning goals. They would need to be given the change of ownership of a service, a design suggestion, and exposure to decisions on trade-offs. Similarly, a product manager would need to have experience dealing with competing priorities and resource and time trade-offs due to restricted Engineering Resources, while under time pressure from the business.

For these reasons, many teams design their own IDPs by looking at examples in order to guide their practice. Not to copy the structure of the IDPs, but in order to help goal setting move from abstract to concrete work, and build the responsibility and skills of employees.

Gallup’s 2026 workplace report found that only 20% of employees worldwide were engaged in 2025. Low engagement is not just a cultural issue. In many cases, it reflects something simpler: people do not see a believable path forward within their role.

IDPs Make Expectations Concrete

Most technology companies have already established the components within a system: levels, performance evaluations, peer reviews, criteria for promotions, sprint rituals, code reviews, and product metrics. The issue is not a lack of structure. Indeed, there is structure. Yet they do not meaningfully connect them.

Consider a mid-level frontend engineer. They launch features. However, their releases become messy over the sprint cycles. They may receive late design changes, QA may raise issues that were never discussed, and the product team believes the engineer is not contributing enough to planning meetings.

The review summary becomes quite predictable. This engineer “needs to take more ownership.”

The review is not entirely actionable.

An improved individual development plan would suggest observable actions, e.g., take ownership to clarify acceptance criteria prior to the sprint planning meetings, surface potential UI design issues, provide intermediate status reports during development, and sustain the development effort to minimize the need for design revisions.

This is exactly where structured individual development plan examples become useful in practice – they translate abstract expectations into concrete behaviors that engineers can actually follow in real delivery cycles.

The IDP provides clarity and sets forth the expectations for the engineer, the manager, and the other teams.

McKinsey’s findings in the area of performance systems support this as well – people are more effective at achieving targets when expectations are clear. In engineering, this is even more important, since there are many ways to signal performance, especially in the context of pull requests, architectural design, and incident reviews.

An IDP is a signal that organizes that data in a more usable format.

The Best IDPs Are Embedded in Real Work

Weak IDPs are built outside of work. They include goals around self-improvement, training sessions, specific courses, and more.

Strong IDPs are built directly into delivery.

If a junior engineer does not ask questions and overlooks edge cases, simply placing a note in their IDP that says “be more proactive” is not helpful. The development plan must include practical work. Rather, before the next sprint, the plan must include implementation notes. During active work, they should ask clarifying questions at the beginning of each task and be required to work with a senior engineer before submitting a pull request.

This work is done outside of silence and isolation.

A product manager may be struggling with stakeholder management when prioritizing. Their IDP may include direct design research with clients, comparative trade analyses of competing scoped offerings, use of product session data during roadmap meetings, and noting the reasoning behind deprioritized features.

Development happens in the moments of decisions, not in theorizing.

One of the key findings in Deloitte’s Human Capital Trends research is that companies design their performance systems with clear intent, but often that intent is missing from the actual employee experience. IDPs become especially useful when they help close that gap and connect intent with daily work.

Example IDP Structure in Tech Teams

A lot of detail isn’t needed with an IDP. If a lot of detail is required, the purpose of an IDP is to simplify, so the IDP is not effectively serving its purpose.

When evaluating performance, direct questions should be asked, such as “Why was the RFC created?” Or what was the feedback on the code reviews from this sprint?

If direct questions cannot be answered with reference to the IDP, then the IDP is not serving its purpose.

Static Career Plans Do Not Match Modern Tech Work

Jobs change rapidly in IT. A backend engineer might need to know the infrastructure. QA engineers might need to know about automation. A product manager might need stronger data analysis skills to make product decisions regarding usage and operational costs.

What if a backend engineer became a DevOps engineer or a platform engineer? The company might have the backend engineer do only incident response. This would be too much for the engineer to learn. The company might keep the engineer away from production work. This would prevent the engineer from learning.

A good IDP allows this by making a structured plan that gives the employee controlled exposure to the changes. This would include things like watching incident response, making dashboards for one service, writing documentation to explain how to do a service rollback, and doing some service infrastructure work for the platform team.

This approach allows a gradual change in the employee’s context as they move into the new role.

Tools Support the System, but Do Not Replace It

IDPs are typically managed within internal HR platforms, project management systems, and team collaboration tools that already exist inside most tech organizations. OKR systems can also be used when development goals need to align directly with team objectives.

The simplicity of the workflow system is apparent. A manager can assign the responsibility of “leading the checkout service observability improvements” to a role, link it to a reliability goal, and then address it in a one-on-one meeting.

HR can observe development and increased delivery in Engineering. For the employee, this shows that growth is being integrated into their current role.

Where IDPs Break Down

The most noticeable way that IDPs fail is when the plan is created, and there is no follow-up. If an IDP is created and is not referred to again, it serves as a symbol of a failed plan.

Another is what is referred to as manager distance. When employees are excluded from system creation, mentoring, or research, they are unable to gain the skills the IDP identifies as a goal.

The third is separating performance reviews from IDPs. If, in a review, an employee is lacking in two areas, namely influence or accountability, then it is the IDP’s responsibility to provide those opportunities in the real world to practice those behaviors.

If this is the case, then the IDP system is non-functioning.

How Effective Managers Use IDPs

As IDPs are integrated into continual conversations, great managers take IDPs off the shelf.

The question is no longer, “Was the plan updated?” Instead, people ask, “What did the latest work reveal about the skills the individual is trying to develop?” This question takes the conversation from compliance to reflection.

Design engineers can articulate design reviews that highlight gaps in the logic. Product managers can reflect on a trade-off decision that ultimately failed to persuade the stakeholders. Engineering leaders recognize they may have reclaimed too much authority from their peers.

These are the first places we see evidence of growth.

Well-constructed IDPs are also narrow in focus and typically have one or two goals. When too many goals are identified, they become reports, rather than a change in behavior.

IDPs are goalposts, rather than gates. The development goal may change, but the IDPs still signal what skill they are trying to develop, where they are working on it, and how it will be measured.

The Real Value of IDPs in Tech

The nature of work in technical roles is that there are many hidden expectations. Employees often think of career growth in terms of the quantity of work they have done, whereas managers may think of it in terms of constructive, well-communicated work that reduces risk for others.

This creates frustration for both employees and managers.

IDPs help identify that gap early so that employees can adjust their behaviors and managers can adjust their expectations. IDPs are outcomes of the development work and will show how it will be done and measured.

In good engineering companies, IDPs are part of the work. They are in spaces where growth seamlessly integrates, such as design reviews, production incidents, roadmap decisions, and trade-offs about what to deliver.

That’s where performance progression happens. This is also where people’s career paths actually kick off.