By Dr. Ravinder Tulsiani
The request that arrives already decided
A sales leader walks in with a clear request: the team missed its targets, so it needs negotiation training.
The request sounds reasonable. The course can be built, delivered and reported. Participants will probably say it was useful. Three months later, targets may still be missed, and no one will be surprised in the right way. They will ask whether the training worked, when the real question should have been asked before it began.
This article is for two readers in that moment. If you lead learning, you are the person asked to deliver the course. If you lead the business, you are the person asked to approve and pay for it. It applies where a performance problem is clear, a training request is already on the table, and a decision has to be made before money and time are committed.
The insight is direct: even excellent training cannot fix the wrong problem. The value is created or lost in the decision before the investment, not only in the quality of the program that follows.
A good course can still be the wrong answer
Take that sales team again. Management assumed the gap was negotiation skill. The team completed the course. Performance did not move.
Training may have been weak. That is possible, and it is the explanation most people reach for first. It is not the only explanation, and it is often not the main one.
Look at the work itself. Salespeople may spend too much time entering the same information into several systems. Pricing approvals may take too long. Incentives may reward quick deals while leaders expect long term customer relationships.
None of those barriers falls away because someone learned a better negotiation technique. A team can learn well and still be blocked at work.
That is why the cost of the wrong answer is not just the course budget. It is three months of lost performance, a team that now doubts the next program, and a learning leader whose credibility is tied to a result training alone could not deliver. The program can be judged a failure even when the learning worked.
Connecting training to strategy is not the same as diagnosing the problem
For years, learning leaders have been told to connect training to business priorities. That advice still matters. It is not enough on its own.
A program can be linked directly to a strategic goal and still be the wrong response. Take AI adoption as an example. Leaders want staff to use AI tools more effectively, so they commission enterprise wide AI literacy training. The link to strategy is obvious.
But what is actually stopping adoption? Staff may lack skill. They may also be unsure which tools are approved. Managers may discourage experimentation. Workflows may still be built around processes AI could replace. Staff may worry about what happens if they use AI incorrectly.
Each answer points to a different response. Training helps with skill. It does not settle which tools are approved, give managers authority to redesign a workflow, or change measures that still reward the old way of working.
A leader who simply delivers the requested program can show alignment with strategy. A leader who checks the barriers first is helping to shape the strategy itself. That is the more valuable role, and it is also the role that protects the next budget request.
Ask a different question first
When performance falls short, the usual question is: what training do our people need?
Start here instead: what is stopping our people from delivering the performance the business requires?
That question changes the conversation. It looks at the conditions of work, not only at the person. It also gives you a check you can use without guessing, before you commit resources.
Work through five checks, in order, and look for evidence in the work itself, not only in what people say about their skills:
- What performance must change, in observable terms? Name the work result, not the course topic. For the sales team, that is deals closed on time, at the right terms, without rework. If you cannot name the result, you are not ready to choose a response.
- Do people know how to do it, as shown at work? Look at live work, manager observation, and work samples. A test or a self report alone is not enough. If people already do the task well in practice, or in a controlled exercise, a capability gap is not the main constraint.
- Do they have what they need to do it consistently? Check time, authority, tools and information. If a salesperson cannot get a pricing decision in time, negotiation skill will not close the gap.
- Do incentives and measures point the same way? Check what is rewarded, what is measured, and what managers praise in practice. If the system rewards quick deals, do not expect long term relationships from training alone.
- Are expectations clear and realistic? Check whether the target, the deadline, and the standard are understood and achievable with the resources available. If expectations themselves are the problem, training will only hide that fact for a while.
Each check leads to a different response, and that is the point. A skill gap leads to training. A missing tool, a slow approval, or a conflicting incentive leads to a fix at work. Unclear or unrealistic expectations lead to resetting the expectation. Sometimes the right answer is training plus a fix at work, in that order. Sometimes it is not training at all.
AI makes this check more important, not less
AI raises the stakes for the same reason. Decisions about which skills to build, which tasks to automate, and how roles should change affect productivity, workforce planning, confidence and future capability.
The risk is treating every AI problem as a skills gap. A person may know how to use an AI tool but have no clear guidance on when its output needs human checking. A manager may finish AI training but still lack authority to redesign the workflow. A team may be technically ready to use AI while still being measured on the old way of working.
In each case, teaching the tool leaves the work unchanged. The question for leaders is not only whether people know the tool. It is whether they are being prepared to work differently, with clear guidance, authority and measures that match the new work. That answer should shape where development money goes.
How to do this without turning it into a long study
Challenging a training request does not mean resisting the business, and it does not mean turning every request into a lengthy consulting exercise. It means bringing enough discipline to the conversation before resources are committed.
Before you approve or build a program, write down one page with four entries:
- The performance result that must change
- The evidence for a capability gap, or the evidence that the gap lies elsewhere
- The conditions that must be in place for people to use what they learn
- What will count as improvement, and when you will check it
If any entry is blank, that step is not done yet. That blank is useful. It tells you what to check next, instead of letting you guess.
It is easy to get this wrong, and the mistakes are predictable: accepting the request at face value; measuring success by completion, satisfaction, or test scores alone; linking a program to strategy without checking the barrier; teaching a new tool while leaving the workflow, authority and measures untouched; and recommending training for every problem, so executives stop believing the diagnosis is independent. Each mistake has the same root: the decision was made before the check.
What this changes about the value of learning
Learning functions are often judged by participation, completion, satisfaction and knowledge gained. Those measures have a place. They show whether a program reached its audience and whether learning occurred.
They cannot, by themselves, show that the organization invested in the right response. A well designed program can produce excellent learning results and still make little difference to business performance if the original diagnosis was wrong.
Judge a learning function also by the decisions it helps the organization make before training begins. Did it identify the actual constraint on performance? Did it separate a skill gap from a barrier at work? Did it recommend a response proportionate to the problem? Did it state what evidence would show improvement?
Those questions move the conversation from learning activity to business contribution. They also make value easier to demonstrate later. When the performance problem is clearly defined at the start, the organization is in a much stronger position to judge whether the response made a difference.
The return on this check is not a percentage claim about training. It is the cost avoided by not running the wrong program: time, budget and credibility saved, and three months not spent waiting to learn that the barrier was elsewhere. A short check before launch is small compared with that cost.
As pressure grows to do more with limited resources, the temptation to respond quickly will remain. Training is visible. It can be commissioned, delivered, measured and reported. It gives leaders something tangible to point to when asked what is being done.
Activity should not be confused with progress. Sometimes the most valuable contribution a learning leader can make is to prevent an unnecessary training investment.
That requires a different conversation, one that begins with evidence about performance rather than assumptions about learning needs. Before approving a major training initiative, ask what evidence shows that a lack of capability is contributing to the performance problem. Before building it, be prepared to answer that question, even when the answer changes the response you expected to deliver.
The measure of our contribution is not how much training we provide. It is whether the decisions we help organizations make lead to better performance.
