Nancy Hammond

My services

I explain complex technical topics in ways that non-technical audiences and decision-makers can understand, without losing the detail that developers care about.

My  approach combines:

  • Market research: I use AI tools and traditional research to evaluate competitor coverage, identify knowledge gaps, and develop a plan to create differentiated content. 
  • Message development: I construct relatable narratives that appeal to different audiences—developers, decision-makers, and executives—without oversimplifying the underlying technology.
  • Sales enablement: I create content that can be reused as snippets across presentations, fact sheets, and talk tracks, helping sales teams explain products clearly and confidently.
  • Content strategy: I focus on educational content that promotes  product understanding and adoption, not just awareness.

View my recent PMM Case Study:
Render.com Product Analysis

GitHub Profile: github.com/wordgirl19

Research and collaboration

My work is grounded in deep research.
I use AI to move faster. It helps me find high-quality sources, compare competitor coverage, and build well-researched content that is comprehensive and differentiated.

I learn a lot from the engineers I work with. During technical reviews, they might point out missing context—"we can't explain Y without mentioning X first"—or share resources that deepen my understanding. Those conversations help me understand how developers think about problems and what matters to them.  While I'm not embedded in daily stand-ups or sprint planning, that feedback offers great insight into developer priorities and impacts how I explain complex topics.

Featured Work

MongoDB •

Unstructured Data Analysis Techniques

Unstructured data analysis techniques handle the many different types of data organizations generate today, such as text files, images, PDFs, help-desk tickets, social media posts, audio files, IoT streams, and surveillance footage. Tools like natural language processing (NLP), machine learning, and computer vision help uncover trends and extract valuable insights that traditional analytics tools cannot process. These approaches help organizations identify patterns that drive competitive advantage.

What is CHAP Authentication and How Does it Work?

What Is CHAP Authentication? Challenge Handshake Authentication Protocol (CHAP) is a challenge-response identity authentication protocol. It depends on a combination of CHAP security credentials and a “shared secret” between the requestor (client) and the authenticator (server), and it does not expose a password. It requires both entities to prove their identity through a cryptographic exchange or a “three-way handshake”. When that is successful, authentication is complete.  Ongoing authenticati...

Zero-day Vulnerability Exploits and Attacks

What Is a Zero-day Exploit? You may have heard about zero-day exploits, but what are they, and why do they occur? An attack begins with a vulnerability that the manufacturer or vendor doesn’t know about. This flaw can be in software programs, operating systems, hardware devices, connected services, IoT devices, and more. When exploited by a hacker, these weaknesses can cause major problems for individuals and large corporations. When a hacker learns of a vulnerability, they can create an exploit...

How Man-in-the-middle Attacks Works

What Man-in-the-Middle Attacks Are and How to Prevent Them What is a man-in-the-middle attack (MiTM)? A man-in-the-middle attack occurs when a bad actor secretly inserts themselves in the middle of two connected parties with the intent to read, steal, manipulate, or forward the data that is being exchanged. Also called “eavesdropping,” these attacks have the potential for a big payoff. Similarly, there are subtypes of MiTM attacks: Adversary-in-the-middle Adversary-in-the-Middle (AitM) is a vari...