Rethink Recruiting Innovation with the CP/CL Model

A Spark of Inspiration in an Unexpected Place
It was a Friday afternoon, and I was attending one of our regular Knowledge Sharing Sessions (KSS) at iPlace. This time, my colleague Rituraj was leading the session, talking about Continuous Learning and how vital it is for us to stay relevant and updated in the recruiting industry. As he explained the importance of adapting and evolving, I couldn’t help but start visualizing his message in a different way. What if we took this concept of continuous learning—let’s call it CL—and paired it with something equally dynamic, like the CI/CD model in software development?
And that’s when it hit me. If Continuous Integration and Continuous Deployment (CI/CD) could keep software evolving smoothly, why not create a Continuous Placement, Continuous Learning (CP/CL) model for recruiting? From my perspective, a model like this could make recruiting a more agile, constantly improving process. And just like that, an idea took shape.
Let’s start with a quick intro to CI/CD to set the stage for this new model.

Setting the Stage: A Quick Intro to CI/CD

For those who aren’t familiar with the nitty-gritty of tech development, CI/CD stands for Continuous Integration and Continuous Deployment (or Delivery, depending on who you ask).
In a nutshell:
  • Continuous Integration (CI) means developers constantly integrate new code into a shared repository. This keeps code up to date and allows for early error detection.
  • Continuous Deployment (CD) takes things a step further. When CI is complete, CD automates the release process so changes can be deployed immediately (if they pass all the tests).
The CI/CD model has changed the game in software development by helping teams iterate fast, catch bugs early, and adapt to feedback on the fly. So, I thought, what if staffing and recruiting could do the same?

Enter the CP/CL Model: Continuous Placement, Continuous Learning

So here’s where my idea for the CP/CL (Continuous Placement, Continuous Learning) model comes in. If CI/CD helps software teams deliver better products faster, why can’t CP/CL help recruiting teams deliver better matches more efficiently?
The core concept of CP/CL is simple yet powerful: it’s about continuously improving our understanding of client needs, candidate preferences, and industry trends to ensure that our placements are as precise as possible. Just like CI/CD, it’s a cycle—a loop that keeps us moving forward and improving at every stage.

Breaking Down the CP/CL Infinity Loop

The CP/CL model can be visualized as an infinity loop, just like CI/CD. Here’s how the loop flows in our world:

1. Understand Needs (Planning Stage)

This is where it all begins. In the same way developers plan and prioritize, we recruiters need to understand client needs inside out.

 

I’m talking about everything from job requirements to the softer stuff—team culture, preferred skills, and the “nice-to-haves” that make a candidate stand out.

Pro Tip: Don’t stop at what’s written on the job description. Often, clients don’t know what they want until they see it. Our role here is to dig deep and get a real sense of the fit they’re looking for.

2. Source (Our Coding Stage)

Think of this as writing the initial code for a placement. Here, we dive into our sourcing process, armed with everything we’ve learned from the last placement and client feedback.

 

And according to me, the key here is a mix of proactive and reactive sourcing. We don’t just wait for resumes to pour in; we’re actively building candidate pipelines, leveraging AI, and tapping into our networks.

 

This phase is all about speed and accuracy—finding candidates that don’t just tick boxes but bring something unique to the table.

3. Screen and Qualify (Building the Code)

Here, we’re putting candidates through their paces, checking qualifications, assessing fit, and making sure they’re “production-ready,” so to speak.

 

This stage feels a bit like quality assurance (QA) in software development. If a candidate is almost perfect but needs a little more polish, it’s up to us to bridge the gap.

4. Match and Present (Testing)

After screening, we’re in the “match and present” phase. Just as in CI/CD where code is tested before deployment, here we “test” our candidate with the client.

 

By presenting them in the best light and sometimes even tweaking our pitch based on client feedback, we’re in the zone of refining, adjusting, and perfecting the match.

5. Placement and Onboarding (Deployment)

This is where the placement finally “goes live.” We’re rolling out the candidate into the real world, and this can be nerve-wracking, just like going live with a new software release.

 

But our work doesn’t stop at deployment; we guide the candidate through onboarding, ensuring they’re settled, supported, and, ideally, set up for success.

6. Feedback and Follow-Up (Monitoring and Feedback)

Just like in software, there’s always room for improvement. By gathering feedback from both clients and candidates, we close the loop and start thinking about our next iteration.

 

Did the client feel the match was perfect? Did the candidate find the role met their expectations? Honest answers to these questions are what drive Continuous Learning.

7. Learning and Adjustment (Continuous Learning)

With each placement, we gain insights that help us improve future matches. This might mean refining our screening process, adjusting our sourcing strategy, or even just learning a new trick to keep candidates engaged.

 

In my view, this is where CP/CL really shines. By keeping learning at the center of our loop, we ensure that every placement is informed by the last, making us a little bit better each time.

Why the CP/CL Model Works (And Why It’s Needed)

From my perspective, the CP/CL model doesn’t just work—it’s essential for today’s fast-paced, ever-changing recruiting world. Here’s why I believe it’s effective:

1. Better Matches, Faster Placements

By continuously learning from each placement and adjusting accordingly, we’re able to fine-tune our process. This means better matches and a faster time-to-fill. It’s like a self-optimizing engine that gets a little bit better with each cycle.

2. More Satisfied Clients and Candidates

The feedback loop means we’re constantly learning how to improve, resulting in happier clients and candidates. It’s a win-win: clients get the talent they want, and candidates find roles that align with their goals.

3. Staying Ahead of the Curve

In an industry where skills and roles evolve at lightning speed, Continuous Learning keeps us competitive. By staying in tune with market trends, we ensure that our placements remain relevant and impactful. 

4. Data-Driven Decision Making

In the CP/CL model, data isn’t just a byproduct; it’s the fuel that drives improvement. The more feedback we gather, the smarter our process becomes. Think of it as a form of organic AI—our recruiting engine “learns” from every placement.

The Future of Recruiting with CP/CL

In my view, CP/CL has the potential to transform recruiting. It’s about moving from a static, “place and forget” model to a dynamic, ever-evolving process. Just like the CI/CD model revolutionized software development by making it more adaptive and responsive, CP/CL has the power to do the same for recruiting. It turns placements into a cycle of improvement, where each candidate we place gives us the knowledge to make the next placement even better.
And here’s the best part: by focusing on Continuous Placement and Continuous Learning , we’re not just filling jobs—we’re building lasting partnerships, strengthening client relationships, and creating a sustainable, future-ready recruiting ecosystem.
So next time you think about the recruiting process, try picturing it as an infinity loop. After all, it’s not about finding one perfect candidate—it’s about a continuous journey to make every placement better than the last.

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