Remove 2008 Remove Aggregator Remove Hiring Remove Metrics
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Cracking The Code: The Bessemer 10 laws of SaaS - Fall 2008.

Cracking the Code

Friday, October 10, 2008. The Bessemer 10 laws of SaaS - Fall 2008 Release. When we first published Bessemer’s Top 10 Laws for Being "SaaS-y" in early 2008 in conjunction with our annual invitation-only SaaS CEO Summit, we were overwhelmed with the positive response and feedback we received. Brian, Paglo www.paglo.com.

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Why diversity matters (the meritocracy business)

Startup Lessons Learned

Two others – that each team member give their input independently and that the results be objectively aggregated – are also key parts of building a meritocracy. After all, if you already have an all-male startup, you’re already at a disadvantage when it comes to hiring the very women that could fix that imbalance.

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Assessing fit with the Wisdom of Crowds

Startup Lessons Learned

Lessons Learned by Eric Ries Tuesday, December 30, 2008 Assessing fit with the Wisdom of Crowds When I wrote earlier about how to conduct a good technical interview , I had only a few things to say about how to assess if the candidate fits in with the team, including this: This responsibility falls squarely to the hiring manager.

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The 10 laws of SaaS unveiled at Bessemer CEO Summit

Cracking the Code

Monday, February 04, 2008. A few times per year, Bessemer organizes a CxO event for our portfolio companies and we decided to focus our first session of 2008 on Software-as-a-service (SaaS). What metrics should I be using to drive a saas business? If you want to learn more on SaaS metrics, you can read my previous blog post.

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It's a startup, not a spreadsheet

Startup Lessons Learned

In a startup context, numbers like gross revenue are actually vanity metrics, not actionable metrics. Similarly, it’s easy to generate large aggregate numbers by simply falling back to non-disruptive or non-sustainable tactics (see Validated learning about customers for one example). June 8, 2009 1:16 AM Colin said.

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Brand Measurement: Analytics & Metrics for Branding Campaigns

Occam's Razor

Remember: Engagement is not a metric, its an excuse. ]. The ideal metrics for this desired outcome are Visitor Loyalty & Visitor Recency. You can compute two important metrics: Likelihood to Recommend / Brand Lift. You can measure this at an aggregate level, or you can measure it just for your campaign traffic.

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Lessons Learned: Validated learning about customers

Startup Lessons Learned

Every board meeting, the metrics of success change. First of all, it means that most aggregate measures of success, like total revenue, are not very useful. Time-to-complete-a-sale is not a bad metric for validated learning at this stage. Thank you for your simple, insightful explanation of why that is the wrong metric to use.

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