Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

Most of my career has been spent focused on Commercial Finance/Operations in the HCM space, working for 19 years at ADP and 5 years at Ceridian/Dayforce.  I also spent 3 years in between those two stints at NCR.  I built the Commercial Operations function at ADP from nothing to a global operation of 100+ associates serving all segments, excluding the extreme down-market where no function was required.  Both NCR and Dayforce required rebuilding the function to optimize the opportunities to streamline processes, drive deal velocity, and ultimately drive higher, more profitable sales.

Q2. What structural shift in quote-to-cash or deal structuring is most changing how companies drive revenue today, and why has its impact accelerated recently?  

Speed to closing deals has always been a top priority, but that has grown over the past few years as automation has enabled companies to provide faster quoting, negotiation and contracting, but not all companies have embraced the technology, and probably more importantly, many companies are burdened by their internal processes and escalation rules that are silo based vs. deal based which slows things down significantly.

Q3. Where do CPQ implementations genuinely improve sales productivity and margin discipline, and where do they create friction?

CPQ only works where the processes are optimized before the CPQ system is designed.  You must start with designing that process to remove steps, create straight-line escalations, eliminate “veto holders” from the process, and then ensure that internal tension is reduced by aligning compensation across functional areas so everyone is pulling for the same outcomes.

Q4. What makes forecasting accuracy structurally difficult in today’s sales environments, despite better data and tools?

That is dependent on the industry, average deal size as compared to total sales, etc., but at least in HCM and most SaaS situations, there is this thought that average discounts are meaningful when in reality the standard deviation around those averages is very high.  Sales and finance leaders focus too much on price, even though it's rarely the biggest driver of winning or losing a deal.  In today’s environment, the other big change is that customers are scrutinizing deals more than ever.  Finance is playing a much bigger role which tends to slow down decision-making, which then impacts forecasting.

Q5. Which part of the revenue lifecycle appears optimized but still hides significant inefficiencies or leakage?

1. Pricing negotiations, both internal and with clients.  Sales is under pressure to sell under strict timelines, and that normally means that, at the last minute, significant discounts are offered to “close this month” when the close was guaranteed without the discount, but perhaps a month later.
2. Contracting T&C’s.  These can have a significant impact on TCV, but in most cases, no one is paid to care, so concessions on price increase language, early-term fees, etc., are given.
3. Leakage related to client use of functionality in the system where they are technically not paying.  This issue is worse at some companies than others, based on how the system provisions use of that functionality. ADP is better; Dayforce is not.

Q6. Which purchasing criteria tend to emerge late in the deal cycle and unexpectedly influence outcomes?

Implementation timelines, fees, and how go-live impacts software billing timing.  This is a question where the answer could go very deep, but at a high level, for revenue recognition purposes, it’s important that a contract state exactly when SaaS billing starts.  Typically in the HCM space, SaaS billing started at Go-Live, which isn’t a stated date but an event.  This poses problems and complexity in how deals are structured when the “date” and the “go-live” fall out of synch due to implementation delays for whatever reason, including the client using 3rd party SIs to do that work.

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

• Ability for the system to leverage AI.  
• Single database vs. interfaced applications.
• Strong SI network to ensure systems sold can go live quickly
• Ability to support global clients. Includes having a strong network of in-country payroll providers.