Instant Feedback Tools

FeedbackNow began over 15 years ago with the iconic “Green/Yellow/Red” smiley buttons—well-known as the fastest way to gauge customer feelings in the moment and at the point of experience. Lately, we're seeing many clients hit home runs with the often underrated potential of our simple and flexible “123” solution; incredibly powerful for driving real-time operational improvements. We tend to see 3 basic use cases (images below): Empowering Customers: For example, patients can be given the ability to immediately connect with the right department from their bedsides, without pressing the traditional “911” nurse call button or bothering staff with non-clinical requests. This approach has delighted patients at Montefiore Hospital with its simplicity and innovation. Empowering Staff: Staff-to-staff calls can be made with a single click. This simple operation significantly boosts efficiency, saving minutes each time that quickly add up by the end of the day. For example, one VA hospital uses our “123”s to bring the right cleaning staff to emergency room bays with a simple click, saving valuable time and dropping the total wait time of patients down each day. Collecting Precise, Real-Time Location Data: Many organizations rely on surveys to gauge customer opinions. Imagine capturing responses from the exact moment and location they’re asked—giving real-time, actionable insights. My favorite example is an initiative at Q2 Stadium with the Austin Football Club, where a 123 "survey" helped them understand not just how fans got to the game, but also provided a sense of where (which gate) and when. Think about these examples—perhaps you have an innovative idea to use this technology to empower your customers, staff, or data collection? Let us help you create a new, exciting impact! Would love to hear some ideas. #realtime #feedback #CX #FeedbackNow

we spent $2M building "the most comprehensive patient experience dashboard in the industry." hospital executives loved the demos. the visualizations were beautiful. the data was clean. nobody used it. three months in, I finally understood why: we'd built a quantitative masterpiece that ignored qualitative reality. our dashboard could predict average length of stay across thousands of patients. but it couldn't tell our clinical leads what she actually needed at 2 PM on a Tuesday — whether patient A in room 123 was getting anxious about discharge. That's the trap most data product teams fall into. We pick a side: the quant folks build dashboards and A/B tests. Great for "what" questions but terrible for "why." the qual folks run user interviews and read support tickets. Rich context but doesn't scale. Both miss the magic that happens when you combine them. Here's what changed for us: we built what Sachin Rekhi calls "feedback rivers" — continuous streams of customer feedback that merge quantitative signals with qualitative context in real time. (didn't have for a name for it back then) Traditional approach: schedule focus groups, design surveys, manually dig through tickets. Takes weeks. our nlp-powered feedback system surfaced this in 30 minutes: → dozen support tickets: "confusing medication reminders" → multiple support calls: "managers don't understand the app" → Interview quote: "its pretty but i don't know what to do about it" we simplified the interface. Two weeks later: → 30% improvement in completion rates → 25% increase in adherence scores it was about connecting quantitative signals with qualitative context instantly. i just published a deep dive on this: how to build your own feedback river, avoid common pitfalls (drowning in data, over-relying on AI summaries), and create a culture where stories and stats inform each other. also includes a 30-day action plan to get started. Link in comments. 👇

After we launched Inari (YC S23) a few weeks back, we were surprised to hear over and over from PMs and designers that their biggest pain was actually how time consuming pulling out insights from customer feedback data is. So we did a little hackathon last week and are now releasing an AI-powered customer insights engine! You can use this tool to understand what’s on your customer’s minds, figure out which themes will boost engagement and retention, then prioritize your roadmaps. Here’s how it works: 1. We handle the annoying “data plumbing” - connect your customer feedback data sources, CSVs, or even drop in long docs/PDFs from your customer interviews. We’ll extract the key datapoints from these data sources to be analyzed. 2. We use LLMs and other models to sift through each piece of feedback - summarizing themes, sentiment, feature requests, bugs or defects, and praises. If it’s a long piece of feedback like a customer interview, we’ll chunk the doc and pull out the important highlights. Teams can adjust the categorization heuristics/prompts themselves as needed. 3. We add some basic analytics and workflows on top of the processed customer feedback data so it’s easy to understand key themes, monitor changes on different time series, and filter based on which team, type, source, or date the user wants to look at. If any product, design, support, or other teams want an easy way to pull out customer themes, requests, quotes, and other insights for planning, triaging requests, and other use cases - let us know and we’d love to get this live for you (frank@useinari.com)!

What if you never missed another critical moment to collect customer feedback? Most organizations manually trigger surveys after key events - project completion, case closure, opportunity conversion. But manual processes mean missed opportunities and inconsistent data collection. Record Lifecycle Maps in SurveyVista automate feedback collection at precise stages of your Salesforce records, ensuring you capture insights when they matter most. For Salesforce users managing complex customer journeys, this automation transforms how you optimize workflows and close feedback loops. Instead of remembering to send surveys, your system intelligently triggers them based on record status changes - from campaign engagement to case resolution to opportunity outcomes. Four key benefits of automated lifecycle feedback: ✅ Consistent Data Capture: Never miss feedback opportunities during critical customer moments ✅ Workflow Optimization: Eliminate manual survey sending and reduce admin overhead ✅ Precise Targeting: Custom triggers and filters ensure surveys reach the right people at the right time ✅ Survey Fatigue Prevention: Built-in throttling and timing controls protect customer experience When customer insights flow automatically into your CRM based on business processes, you transform reactive reporting into proactive business intelligence. Ready to automate your feedback collection? Check out SurveyVista's free knowledge base for survey templates and implementation guides. https://lnkd.in/d4N3TXir

My workshop feedback method has a 100% response rate — and uses zero forms. I ditched post-workshop surveys because… no one filled them out and the ones who did wrote things like “Great workshop 🤗 ” (helpful… ish ⁉️ ). So now I use my four-question, four-colour sticky-note system at the closing of a workshop. It’s fast, visual, and human. It surfaces real language, real commitments, and real insight. Reflection becomes baked into the workshop instead of bolted on. Here’s the magic. I ask everyone to respond to these phrases individually 🟡 “I learned / liked / aha!” - Quick bursts of insight. One idea per sticky. No faffing. 🟢 “I will…” (What ideas do you plan to implement immediately?) - The gold. Actual commitments. I can instantly see what’s going to live beyond the room. 🔴 “I wish…” (What support do you need or what else do you wish we had explored today?) - Constructive, honest improvement ideas and what they need to succeed post-workshop. Better than any anonymous text box. 🔵 One word (What single word best describes your overall reaction to the session?) - These become my word cloud*, and it tells me the emotional temperature in one glance. Then, in small groups, participants choose their top insights, star them, and share them with the room. It turns into this joyful moment where you can see what activities really landed and what learning truly stuck. Impact? • I can literally see what resonated. • The “I will…” notes show behaviour change starting before people even leave the room. • The “I wish…” notes help me evolve each workshop immediately. • And the one-word cloud gives me a pulse check that’s surprisingly accurate. (see word cloud from 10 workshops* - 210 words - in comments) Yes, I still type them all into a spreadsheet by hand (there’s something human and connective about reading people’s handwriting). Then I let AI help me spot themes and patterns. It’s simple. It’s human. It works. And gives clients tangible, meaningful insights... Curious: how do you gather feedback that actually helps you get better? #PlayMore #JudgeLess #feedback #facilitation