The Cherryleaf Podcast

166. From founder-led to process-driven: how to build a culture that scales

In this episode, Ginny Critcher talks with Ben French, leadership development consultant and business coach, about what it really takes to transition an organisation from founder-led to a more structured, process-driven way of working.
Drawing on their shared experience working with a global football organisation, Ben and Ginny explore the tension between preserving the culture that made a company successful and introducing the processes needed to help it grow — or survive contraction. They discuss when organisations typically need to make this shift, why getting the calibration of process right matters as much as having process at all, and how documenting culture and policy are really the same thing.
Topics covered include:
Why organisations of around 10–30 people often hit a tipping point
The challenge of adapting central frameworks to work across different countries and cultures
How external consultants can help organisations ask the right questions — not just do the work
The role of decision-making clarity in shaping culture
How to communicate that policy is always a work in progress
Ben also shares what he's been working on since, including a project with the British government focused on embedding new behaviours as different parts of the Foreign Office come together.
Find out more about Ben French at ben-french.com Visit Cherryleaf at cherryleaf.com

165. M&A integration blueprint: Why procedures matter more than you think

When two companies merge, the announcement typically focuses on synergies, market share, and shareholder value. What gets far less attention, until it becomes a problem, is the intricate work of actually integrating two distinct organisations into a functioning whole. At the heart of this challenge lies something seemingly mundane but absolutely critical: policies and procedures.
The integration blueprint for any merger or acquisition must address not only systems and structures, and also the fundamental question of how work gets done.
It’s here, in the weeds of operational detail, that many integrations stumble.
See also our blog post
https://www.cherryleaf.com/2026/02/ma-integration-blueprint-why-procedures-matter-more-than-you-think/

164. Trends in technical writing careers for 2026 and beyond

In this episode, we explore how AI is reshaping the technical writing profession and what skills will matter most in the coming years. While AI dominates the conversation about the future, we dig deeper into what this means for technical writers, documentation strategy, and career development.
Summary: 
The role of technical communicator is evolving from document creator to strategic orchestrator of complex information ecosystems. Success requires:
Proactivity: Identify problems and initiate solutions rather than waiting for direction
Strategic thinking: Design information experiences, not just documentsTechnical depth: Level varies by organization and documentation type
Data literacy: Evaluate success through analytics
Persuasion: Influence stakeholders and gain buy-in for your vision
The person filling this role might come from technical writing, UX/UI, content strategy, or training backgrounds, whoever can demonstrate the necessary skills first.
Links:
Nano Banana Pro is the “ChatGPT Moment” for Visual Communication
Generative UI
The “Engineering” of the Technical Writer
Documentation Product Management: Does the AI Era Demand a New Discipline?
Managing and mastering documentation projects with AI courseCherryleaf

163. Discovering what different users think of your documentation

High-quality documentation reduces support costs and drives product adoption, but traditional feedback methods often fail to capture the full user experience.
This episode explores how modern documentation teams are combining AI simulation with human research to understand how different users interact with their docs.
Key topics
The problem with traditional feedback
Understanding your user archetypes
Traditional testing methods that still work
AI user simulation: The new frontier
AI limitations to remember
The winning strategy: Hybrid approach
Resources mentioned
Reader-simulator by Casey Smith (open-source): github.com/caseyrfsmith/reader-simulator
Impersonaid by Fabrizio Ferri: github.com/theletterf/impersonaid
Cherryleaf course: Managing and Mastering Documentation Projects with AI
 

162. Time sinks in technical writing

This episode explores common time sinks in technical writing and practical solutions to streamline documentation workflows, with a focus on automation and AI tools.
Key topics covered
Common time sinks identified:
Chasing reviewers and SMEs for feedback
Constantly shifting priorities and expectations
Version control and format conversions (especially markdown/Word)
Unproductive meetings
Documenting features too early (before testing is complete)
Tracking requests and managing follow-ups
Time zone coordination challenges
Working with poor or incomplete requirements
Solutions and strategies:
Content operations approach - Strategic framework examining people, processes, and technology in content production
Four solution categories:
Remove bottlenecks from processes
Reduce friction for collaborators
Delegate and spread workload
Automate repetitive manual tasks
AI and Intelligent Agents - Moving beyond traditional automation to tools that can adapt and make decisions
Implementation tips:
Focus on high-impact, repetitive tasks first
Track metrics to measure real-world impact
Use phased rollout approach
Maintain human oversight and accountability
Remember: augment, don't replace
Upcoming events
TCUK Conference (Nov 24-25) - Presentation on automation in technical writing
New course launch: "Managing and Mastering Documentation Projects with AI" (pilot: Nov 3-4)
About Cherryleaf
Cherryleaf is a technical writing services and training company. 
Cherryleaf
Cherryleaf Newsletter

161. How learning and teaching are changing

In this episode of the Cherryleaf podcast, we look at how learning and how teaching is changing. We're going to see a change, and probably a rapid change in what content, staff, and users are given.
We'll post a transcript of this episode to the Cherryleaf blog. 
About Cherryleaf
Cherryleaf is a technical writing services and training company. 
Cherryleaf
Cherryleaf Newsletter

160. Technical writing news roundup July 2025

In this special episode of the Cherryleaf Podcast, we're doing something a little different - a curated roundup of recent news, tools, research, and resources especially relevant to technical communicators.
🔔 Highlights & Topics Covered:
🆕 TechSmith Launches Camtasia Online
🛠 Vale Linter Introduces “Views” Feature
📄 Netflix’s Documentation ApproachWe review “Documentation that Developers Actually Read: The Netflix Approach” by Pratjem Naik.
♿ Web Content Accessibility Guidelines (WCAG) 2.2 Card DeckJohannes Lehner’s printable & digital card deck for WCAG 2.2 helps with accessibility workshops and planning.
🤖 The Impact of Generative AI on Work TasksStanford & World Bank research shows how AI dramatically reduces time needed for tasks like repair and installation.
🔗 Microsoft Learn Docs & MCP (Model Context Protocol)New tool allows GitHub Copilot and other AI tools to retrieve contextually accurate, real-time Microsoft documentation.📹 Includes highlights from Peter de Bruyne’s YouTube demo
📊 Google Adds AI-Powered Features to Google SheetsGoogle Sheets now supports Gemini-powered prompts to analyse and generate personalised content based on spreadsheet data.
We'll also publish a transcript of this podcast on the Cherryleaf blog.
About Cherryleaf
Cherryleaf is a technical writing services and training company. 
Cherryleaf
Cherryleaf Newsletter

159. Towards a Question and Answer world

The way users want to access information may be undergoing a seismic shift. Some have suggested technical communication is rapidly moving towards a question-and-answer (Q&A) paradigm.
As user behaviour moves away from reading and towards asking, we discuss how chatbots, AI, and Q&A-driven interfaces are reshaping the expectations and responsibilities of technical communicators.
Takeaway quote:"It’s not about crafting a list of 20 questions. It’s about building a robust knowledge system that can handle any question and deliver meaningful answers."
Resources
Michael Andrews and Ardis Ramey on Q&A communication paradigms
UK Government Digital Service post: FAQs: why we don’t have them
Cherryleaf Newsletter
We'll also publish a transcript of this podcast on the Cherryleaf blog.
About Cherryleaf
Cherryleaf is a technical writing services and training company. 
Cherryleaf
 

158. The Changing Marketing Landscape

In this episode, we dive into responses to the evolving digital landscape shaped by AI in search engines and changes in social media.
We explain how Cherryleaf took inspiration from the viral success of the Museum of English Rural Life (Merl) and used AI chatbots to analyse Merl's approach.
We share the key lessons learned - such as embracing an authentic voice, leveraging unique content, blending education with entertainment, and encouraging engagement - and details how Cherryleaf adapted these for a technical writing services company.
Discover the creative content pieces we've launched, including "Technical Writer Superpowers," "Technical Writing Bingo," and "Dungeons and Documents," and hear about the initial results in terms of engagement and reach. We also discuss future plans and how other organisations can adopt similar strategies.
Technical Writer Superpowers
Technical Writing Bingo
Dungeons and Documents
Technical writing jargon explained: 📦 Single-sourcing
Cherryleaf Newsletter

157. The Rise of Autonomous AI Agents and What It Means for Technical Writers

🔍 Episode Overview
In this episode, Ellis explores how AI agents, especially autonomous AI agents, are reshaping the landscape of technical communication. What are they? How do they differ from traditional AI tools? And crucially, what does their rise mean for technical writers?
Blending two recent blog posts, Ellis walks us through emerging tools like Manus, Opera's browser AI, and AgentQL, and what these changes mean for how we create, structure, and deliver documentation.
🧠 What You'll Learn
What AI agents and autonomous AI agents are — and how they're evolving
The four key traits of autonomous agents:
Insights from new AI tools
🧰 Impact on Technical Writers
Ellis explores three main ways AI agents could change the role of technical authors:
Content for Autonomous AI Consumption
Structuring content for AI readability
Multimodal delivery (text, audio, UI elements)
Built-in accessibility for dynamic adaptation
Documentation as Agent-Ready Data
Writing docs as if they were APIs
Emphasis on semantic structure, metadata, and clarity
AI Agents as Co-Creators
Personalised content generation
Agent-driven feedback loops
Enhanced content curation and adaptation tools
🗨️ Key Quotes
"Autonomous is the key word. It signifies something that’s self-governing, that can operate independently, with little human oversight."
"The real transformative potential of AI lies in autonomous AI agents."
"Rather than being replaced, technical writers could become the architects of AI understanding."
🔗 Resources & Links
📄 Blog post: The Rise of Autonomous AI Agents
📄 Blog post: Meet Your Future Co-Worker – AI Agents
🌐 Manus AI
🌐 Opera’s AI-Powered Browser Agent
🎤 Rachel Lee Nabors on AgentQL
The Race Is On to Redesign Everything for AI Agents
📧 Contact: info@cherryleaf.com
A transcript will be posted to our blog.
📢 Stay Connected
For more insights into the future of tech comms, AI tools, and professional development for technical writers, visit cherryleaf.com or follow us on LinkedIn and Twitter.