Communication Metrics and Evaluation

🚨 Internal Comms Hack: If you’re still measuring clicks, you’re missing the point. Open rates and clicks? They’re vanity metrics. They tell you reach, not impact. The real question you need to be asking is: What happened next? ✅ Did people take action? ✅ Did behaviours change? ✅ Did it spark conversations? ✅ Did it drive better decisions? If you want to measure real impact (which you really do want to be doing by the way), here’s where to start: 🔍 Go beyond the numbers Pair your data with qualitative insights. Are there fewer questions because your comms were so clear? Are people talking about that new initiative you launched? 🎯 Track behaviour change What did people do because of your message? Did they sign up, take part or change a process? 🗣 Listen to feedback Pulse surveys, focus groups, and informal chats give you invaluable context on what’s landing well (and what’s not). 📊 Look at performance metrics Did your comms drive results tied to KPIs such as increased participation, fewer errors or faster project completion? 🌱 Spot behaviour adoption For culture or change comms, are people embracing new ways of working? Are they living your company’s values more visibly? 📈 Monitor trend changes If you’re communicating around things like wellbeing or retention, keep an eye on absenteeism rates, turnover or productivity to see if your comms are moving the needle. 🚀 Link to outcomes If your comms support a wider business goal, track the results. Did engagement increase? Did a project run more smoothly? Did retention improve? So, next time you share that update, don’t just ask “How many people read this?” ask “What difference did it make?” What would you add? How do you measure the impact of your comms?👇 ________ ✨ I'm Jo and I'm on a mission to make work not suck! ♻️ Share the love - comment and repost for your network. 📌 Follow Jo Coxhill for insights on #internalcommunication, #employeeexperience, #employeelistening and #organisationalculture and ring the 🔔 on my profile so you never miss a post.

Over the last year, I’ve seen many people fall into the same trap: They launch an AI-powered agent (chatbot, assistant, support tool, etc.)… But only track surface-level KPIs — like response time or number of users. That’s not enough. To create AI systems that actually deliver value, we need 𝗵𝗼𝗹𝗶𝘀𝘁𝗶𝗰, 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 that reflect: • User trust • Task success • Business impact • Experience quality    This infographic highlights 15 𝘦𝘴𝘴𝘦𝘯𝘵𝘪𝘢𝘭 dimensions to consider: ↳ 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 — Are your AI answers actually useful and correct? ↳ 𝗧𝗮𝘀𝗸 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 𝗥𝗮𝘁𝗲 — Can the agent complete full workflows, not just answer trivia? ↳ 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 — Response speed still matters, especially in production. ↳ 𝗨𝘀𝗲𝗿 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 — How often are users returning or interacting meaningfully? ↳ 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗥𝗮𝘁𝗲 — Did the user achieve their goal? This is your north star. ↳ 𝗘𝗿𝗿𝗼𝗿 𝗥𝗮𝘁𝗲 — Irrelevant or wrong responses? That’s friction. ↳ 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗗𝘂𝗿𝗮𝘁𝗶𝗼𝗻 — Longer isn’t always better — it depends on the goal. ↳ 𝗨𝘀𝗲𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 — Are users coming back 𝘢𝘧𝘵𝘦𝘳 the first experience? ↳ 𝗖𝗼𝘀𝘁 𝗽𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 — Especially critical at scale. Budget-wise agents win. ↳ 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝘁𝗵 — Can the agent handle follow-ups and multi-turn dialogue? ↳ 𝗨𝘀𝗲𝗿 𝗦𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝗦𝗰𝗼𝗿𝗲 — Feedback from actual users is gold. ↳ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 — Can your AI 𝘳𝘦𝘮𝘦𝘮𝘣𝘦𝘳 𝘢𝘯𝘥 𝘳𝘦𝘧𝘦𝘳 to earlier inputs? ↳ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 — Can it handle volume 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 degrading performance? ↳ 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 — This is key for RAG-based agents. ↳ 𝗔𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗲 — Is your AI learning and improving over time? If you're building or managing AI agents — bookmark this. Whether it's a support bot, GenAI assistant, or a multi-agent system — these are the metrics that will shape real-world success. 𝗗𝗶𝗱 𝗜 𝗺𝗶𝘀𝘀 𝗮𝗻𝘆 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗼𝗻𝗲𝘀 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀? Let’s make this list even stronger — drop your thoughts 👇

I think we’re measuring the wrong stuff… and it’s quietly killing momentum. 2026 has to be the year we fix it. Impressions. Clicks. MQLs. “Engagement.” The real game is happening in DMs, Slack threads, forwarded newsletters, and meetings. Here are 6 metrics I’d focus on in 2026 GTM (and why they matter). 1) Conversations → conversions What it is: Of the conversations your content starts, how many turn into a real next step (intro, meeting, opp). Why it matters: Content doesn’t “generate leads.” It generates conversations. Pipeline comes from what you do next. How to track: Tag every inbound convo (DM/email/reply) and mark the outcome: no fit / nurture / meeting / opp. 2) REAL ICPs engaging with content What it is: Not “engagement.” Engagement from the right people (titles, seniority, company tier, intent). Why it matters: 1 CFO at a target account > 1,000 random likes. How to track: Maintain an ICP list (titles + account tiers) and measure: % of engagers who match ICP of target accounts engaged per week repeat ICP engagers (X touches in 30 days) 3) Brand mentions inside ICP-relevant conversations What it is: How often your brand comes up when your ICP is discussing the problem you solve (not when you post). Why it matters: This is the difference between “content that performs” and a brand that gets recommended. How to track: Collect signals: customer calls (“we heard about you from…”), community moderators, partner chatter, dark social screenshots, and sales intel. Even a simple monthly “mention log” works. 4) Conversation velocity What it is: The speed from publish → first qualified conversation, and from convo → meeting. Why it matters: Velocity is the earliest indicator your messaging is landing. If it’s slow, you’re not sharp enough yet. How to track: time-to-first-ICP-convo after a post/report time-to-meeting after first touch “conversation depth” score (comment → DM → problem share → meeting ask) 5) Brand + category position What it is: Are you being associated with a clear “lane” (category/point of view) or just “a vendor who posts”? Why it matters: In 2026, positioning is distribution. If people can’t summarize your POV in one sentence, you’re invisible. How to track: Quarterly “message recall” check: ask prospects/customers: “What do we do?” “What do we believe?” “What are we known for?” 6) Dark social + word-of-mouth What it is: The off-platform sharing that actually drives deals: forwards, screenshots, Slack drops, “my friend sent me this.” Why it matters: A huge percentage of B2B buying happens in private. If your GTM can’t see dark social, you’re flying blind. How to track: “How did you find us?” (mandatory field) inbound screenshots / Slack mentions private replies after posts If your 2026 GTM dashboard doesn’t include conversations, ICP quality, dark social, and category position, it’s going to keep optimizing for attention… while someone else captures intent.

Everyone’s excited to launch AI agents. Almost no one knows how to measure if they’re actually working. Over the last year, we’ve seen brands launch everything from GenAI assistants to support bots to creative copilots but the post-launch metrics often look like this: • Number of chats • Average latency • Session duration • Daily active users Useful? Yes. But sufficient? Not even close. At ALTRD, we’ve worked on AI agents for enterprises and if there’s one lesson it’s this: Speed and usage mean nothing if the agent isn’t solving the actual problem. The real performance indicators are far more nuanced. Here’s what we’ve learned to track instead: 🔹 Task Completion Rate — Can the AI go beyond answering a question and actually complete a workflow? 🔹 User Trust — Do people come back? Do they feel confident relying on the agent again? 🔹 Conversation Depth — Is the agent handling complex, multi-turn exchanges with consistency? 🔹 Context Retention — Can it remember prior interactions and respond accordingly? 🔹 Cost per Successful Interaction — Not just cost per query, but cost per outcome. Massive difference. One of our clients initially celebrated their bot’s 1 million+ sessions - until we uncovered that less than 8% of users actually got what they came for. That 8% wasn’t a usage issue. It was a design and evaluation issue. They had optimized for traffic. Not trust. Not success. Not satisfaction. So we rebuilt the evaluation framework - adding feedback loops, success markers, and goal-completion metrics. The results? CSAT up by 34% Drop-off down by 40% Same infra cost, 3x more value delivered The takeaway: Don’t just measure what’s easy. Measure what matters. AI agents aren’t just tools - they’re touchpoints. They represent your brand, shape user experience, and influence business outcomes. P.S. What’s one underrated metric you’ve used to evaluate AI performance? Curious to learn what others are tracking.

How to measure the impact of Internal Communications? A practical guide below 👇 If you’re still reporting on opens, clicks and event attendance, you’re measuring activity. That is ok. But the IMPACT sits deeper. Here’s a simple 4-level structure you can use: 1️⃣ Reach & Response Did people see it? (opens, clicks, attendance, views) 2️⃣ Perception & Understanding Did trust, clarity or alignment shift? (pulse checks, sentiment, quick polls) 3️⃣ Behavior Change Are people doing something differently? (define the behavior → measure baseline → measure again) 4️⃣ Strategic Impact Did this influence retention, eNPS, productivity or performance indicators? (track the correlation) Internal Comms becomes strategic when communication connects to behavior and behavior connects to business metrics. Save this framework for your next campaign. Share it with someone who’s building IC as a system, not a content stream. #InternalComms #CorporateCulture #EmployeeEngagement #CommunicationStrategy #SageXP #Measurement #Communications

How do you retain people? "Make few promises. Keep them all." That's the simplest rule I always recommend. How do you keep your promises when they're a WIP? You send comms to keep people updated. But... How do you know if they're landing? Enterprise orgs should track these metrics: 1) Did they even get it? Measure: Delivery rate or % of employees who got this message. If people never see the message, nothing else matters. You'd be surprised how many internal IT protocols actually end up blocking your internal comms. Happens more than you think. 2) Did they see it? Measure: views or video plays. It helps show you initial engagement which is a good start. It doesn't quite tell you comprehension yet but that comes later. P.S. I've seen open rates below 10% before at Fortune 100 companies who initially thought their comms were landing well until they started benchmarking open rate by cohort & department 3) Did they understand it? Measure: Quick poll: “Was this clear?” (Yes/No. Short quizzes help too btw) People may see the message but not understand what to do with the info. That's why I'm a big fan of the BLUF technique the Navy Seals used for comms. It stands for "Bottom Line Up Front" where the most important information is presented at the beginning of your message. 4) Did they act on it? Measure: Did employee complete the action in question. Ex: what's your completion rate on the actions you sent? THIS is your ultimate indicator that comms are working. 5) Did they feel heard? Measure: Weekly or monthly pulse surveys This gives you qualitative data that helps improve tone, clarity, and trust over time. What you say is one thing but the TONE that your frontline feel from it is what really matters from a culture perspective. Friendly reminder: All of these performance analytics SHOULD be segmentable by department, location, team and region to validate where your areas of high and low engagement are so that you can address this with operations and local leadership teams. P.S. What else would you add?

#ay What are the most popular ways of communication globally? #chatgpt Method: rank by reachable user base; channels overlap; in‑person talk is universal but not quantifiable. 1. Mobile telephony (voice & SMS) — ~5.78B unique mobile users; near‑universal reach. Indicator: 23B SMS/day(est.). 2. Social / Messaging platforms (DMs included) — ~5.66B social media user identities worldwide. 3. Email — ~4.5B users (range 4.48–4.6B). 4. OTT messaging apps (top services, MAU) -WhatsApp: ~2.95B. -WeChat: ~1.34B. -Messenger: ~1.04B. -Telegram: ~1.0B. 5. Audio/voice notes & VoIP — example signal: WhatsApp ~7B voice messages/day; indicates massive audio messaging use. Read: - In‑person conversation = most fundamental but unmeasured. - For digital, mobile is the primary carrier (voice/SMS/data), with social/messaging and email the dominant services by global reach. -Communication is the transfer of information that creates shared understanding and correct action. Primitives: Sender · Message · Code (language) · Channel/Medium · Receiver · Context · Noise · Feedback. Goals: accuracy → comprehension → decision/action. Effectiveness (heuristic): Effectiveness ≈ Clarity × Relevance × Trust × Timing ÷ Noise