With the competition for tech hiring and retention heating up, taking your employee recognition and motivation to the next level can help give you the winning edge you need.
As you sat down to a plentiful Thanksgiving dinner with friends and family last week, did you think of giving thanks to your employees and colleagues? You know, the folks you spend 8-10 hours every weekday with? Otherwise known as the crew you’re trying to make a dent in the universe with, and without whom you would absolutely no chance of succeeding? When was the last time you let them know you were thankful for them?
Does your HR tracking start and end with headcount? Here are 10 simple stats that can provide a much clearer picture of your company’s health and growth.
In talking with entrepreneurs who are considering partnering with OpenView, we often hear that the most serious impediment to growth is being able to hire the right employees and grow the company’s headcount according to plan. In response to this trend, over the past three years our talent acquisition support has become the fastest growing group within OpenView Labs, as we seek to screen thousands of applicants and fill over 100 positions (and growing) at our portfolio companies every year.
Given the extremely competitive market for top talent today, our CEOs and founders have to also consider striking the right balance between aggressively adding to their teams, successfully retaining and providing the right career paths for top performing employees, and terminating non-performing employees.
Most of the time though, as far as startup growth planning goes, “growth in headcount” is the primary focus. But this number does not take into account factors such as terminations, defections, promotions etc. Therefore, it typically represents a very simplistic take on the human resourcing strategy of the company.
If you’re a small team with limited time and resources these tools and alternative approaches will help you uncover actionable customer insights you can put to use now.
Editor’s note: This is the third post in a series on how to conduct CRM data analysis. To go back to the first post in the series, click here.
In the previous sections, I described an approach to planning and structuring CRM data analysis. I placed specific emphasis on the steps of setting up the analysis and preparing the input data. And for good reason — those steps are essential to a successful CRM data analysis project.
What’s the make-or-break secret to conducting successful CRM data analysis? Mapping out your game plan first.
I hope you are still with me after that arduous step of getting your data pulled together and set up for the big analysis. You’re closer to uncovering a hidden treasure trove of customer insights, but before you dive in you still need to develop your game plan first. In fact, that’s the true secret of high-impact data analysis work — mapping out your results before you even do the work.
Over the next few weeks, I will be writing about the process of structuring and executing a CRM data analysis that can help expansion-stage startups uncover invaluable insights based on their history of interactions with their customers.
As I have written in my previous introductory post, CRM data stores contain extremely rich, multi-faceted, and interconnected datasets that are invaluable sources of information on a company’s markets, customers, and sales and marketing operations. These latent treasure troves of data just need to be teased out with the appropriate analyses, but it is extremely important that these analyses be set up as correctly and as optimally as possible from the start.
Getting pricing right is one of the most difficult — and important — challenges a SaaS company faces. In this guide you’ll find the best resources available to help you determine your ideal pricing model.
Editor’s note: This is a living document, and our goal is to update it regularly with the best resources around SaaS pricing. Have a suggested link we should add? Let us know in the comments below.
Pricing is an area that many startup and expansion-stage software companies struggle with. We’ve developed and featured a lot of pricing best practices over the years, from OpenView as well as external experts. Below you’ll find the best of the best.
Doing analyses on CRM data is a skill that most technology companies (and any self-respecting growth strategist sleuth) should master.
In our work with OpenView’s more than 20 expansion-stage technology companies, we often find ourselves diving into a company’s CRM databases to conduct extensive data analyses, either as part of a stand-alone, in-depth review of the company’s customer characteristics, or as part of a larger study commissioned on customers acquisition productivity or sales process optimization.
It was impossibly bright and clear. The kind of day that — because it comes after a long, rainy week, and because it provides such a contrast to those previous gloomy days — seems to have an extra glisten in the air, an added sparkle in the leaves and in everyone’s eyes.