Can they explain your value to a customer? Scope an implementation? Deliver a service?
Those questions prompted a lively discussion during a recent roundtable we hosted with partner program leaders. Enablement kept coming up, along with a challenge that deserves more attention as we plan for 2027: we need a clearer definition of what partners should be able to do.
AI makes that question more urgent. Creating another course, video, or presentation for partners is getting easier – but finding time them to consume all this content is a problem.
Here are five areas to work on before you add more content to the queue.
“Enable our partners” is a worthy ambition. It’s also too vague to guide an investment.
Get specific. A seller should be able to identify a good prospect and explain the business value. An implementation consultant should be able to configure the solution and recognize when to escalate. A managed services team needs to operate the technology reliably as part of a customer service.
Each requires a different learning experience and different evidence of readiness.
Before approving a course, finish this sentence: “After completing this, the partner will be able to ______.” Then decide how you will know/measure that ability.
An existing partner learning a new capability has different needs from a newly recruited organization. Yet we often send everyone through the same journey.
For 2027, look for opportunities to make that journey modular. Use short, focused lessons where they suit the task. Offer deeper instruction where complexity demands it. Let experienced learners demonstrate existing knowledge and focus their time on the gaps.
Microlearning still needs structure. A collection of short videos needs a clear sequence, a purpose, and a connection to the capability you expect.
And look at your renewal requirements. If the material has barely changed, what does repeating the entire course accomplish? Teach what’s new and reassess the skills that matter.
AI can help turn approved material into different formats, support practice conversations, and provide feedback. Those are useful applications.
They also create work someone needs to own.
Who checks technical accuracy? Who maintains the source material? Who makes sure a partner-facing assistant isn’t drawing answers from an outdated program guide?
A polished answer can still be wrong. Restricting an AI tool to approved content helps, but its answers still need testing and ongoing review. Before scaling AI-enabled learning, establish content owners, review requirements, and a process for retiring superseded material. Test realistic questions, including questions that fall outside the material provided. Budget for that work. Faster production doesn’t eliminate accountability for what you publish.
What does your certification tell a customer?
The answer should describe a capability the customer can both understand and value. Perhaps it signals that a professional can design a solution, perform an implementation, or manage an ongoing service.
Be precise about the promise. Course attendance, demonstrated competence, and an organization’s delivery capacity measure different things.
That last point matters. A partner organization can retain its designation after trained employees move on. Your program needs a way to keep the designation connected to the people and capabilities available today.
You can offer flexible learning paths while maintaining a rigorous standard. Flexibility should make competence easier to develop and demonstrate.
Completions help you understand participation. They tell you much less about whether the investment worked.
Choose measures that match the capability you intended to build. Consider time to a qualified opportunity, demonstrated sales proficiency, implementation quality, or the support needed during initial delivery. Look for patterns and investigate them. Better results among trained partners are useful evidence, but other factors may contribute.
For your first 2027 improvement, pick one partner role and one capability. Map the existing learning, remove unnecessary repetition, and decide what evidence would show progress. Then ask the question your dashboard should help you answer: What can our partners do now that they couldn’t do before?
Do you need help with enablement programs or measurements? How do you track whether partners can properly deliver your solutions? We can help with your enablement priorities. Contact us to discuss your challenges.