Harvestr

Startup CEO: "Our product roadmap is built collaboratively from the bottom up. Everyone's voice matters!" The actual roadmapping session:

🚀 Chez Agorapulse, nous avons transformé notre approche produit pour mieux connecter nos décisions aux résultats business de la boite. L’objectif : passer d’une stratégie centrée sur les fonctionnalités à une gestion axée sur l’impact, en reliant feedback client et métriques business (revenu ou churn par exemple). Les intégrations avec Salesforce et Intercom nous permettent de synchroniser les données clés (MRR, deals perdus, feedbacks client). Les retours sont ensuite centralisés et organisés par thèmes, pour alimenter nos discussions dans les comités produit (tous les 2 mois). Nos roadmaps sont désormais co-construites avec toutes les équipes, basées sur des données concrètes et des résultats mesurables. Ce cadre nous aide à mieux comprendre et résoudre les enjeux qui comptent pour nos clients, tout en favorisant l’alignement interne. ✨ Résultat : une gestion produit plus efficace, des priorités claires et un vrai impact sur la satisfaction et la rétention client. Tout ça ne serait évidemment pas possible sans Harvestr et Valentin Huang! <3

How Agorapulse turns feedback into revenue 💲 Agorapulse, a leading social media management platform, faced the challenge of scaling its product strategy to focus on measurable outcomes. With an overwhelming amount of customer feedback, the team needed a way to evaluate business impact and make data-driven decisions. By leveraging Harvestr, Salesforce, and Intercom, they built a state-of-the-art feedback loop that empowers their product team to prioritize the most impactful features. The results speak for themselves: ✔ 100% adoption of the feedback loop across teams ✔ Roadmap decisions that align with revenue goals ✔ Features delivered on time, driving retention and growth [Read the full story] 👉 https://lnkd.in/eQVYvTdp Ready to transform your feedback into measurable business outcomes?

🚀 Introducing HAI 🤖—your AI Copilot for Feedback Analysis! We’ve reimagined how product teams handle feedback. HAI transforms scattered feedback into actionable insights by: 🔍 Identifying critical trends from all sources. 📂 Categorizing feedback using your product taxonomy. 💸 Syncing with your CRM to prioritize features that drive growth. The result? 100% feedback processing with unparalleled accuracy, saving product teams hours and driving smarter decisions. We’re live on Product Hunt today! 👉 https://lnkd.in/ewWvSKWJ Big thanks to our customers and team—this is just the beginning. #AIForProductTeams #FeedbackAnalysis

The future of feedback analysis is here. Next week, we take a bold step forward with the power of AI. Meet HAI 🤖 – our newest innovation designed to make managing large volumes of feedback, making it smarter and easier than ever. Stay tuned – the big reveal is just around the corner!

Working on your 2025 product roadmap? Don't put all your (feature) eggs in one basket. Building successful products requires a well-balanced approach across four key types of product work: 🎯 𝗖𝗼𝗿𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀: Focus on breakthrough innovations that differentiate you in the market. ✨ 𝗜𝗻𝗰𝗿𝗲𝗺𝗲𝗻𝘁𝗮𝗹 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀: Refine and enhance existing features to solidify your competitive edge. 💎 𝗨𝗫: Keep the experience seamless by continuously revisiting and optimizing core product flows. 👋 𝗢𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴: Ensure your target users can quickly see value and achieve success with your product. To stay competitive and maintain product-market fit, prioritize solving core problems that are not yet well-addressed while improving related features over time. As your product evolves, dedicate time to fine-tuning onboarding and ensuring the overall UX remains smooth and relevant. 💡 A good starting split could look like this: - 50% Core Problems - 30% Incremental Improvements - 10% UX - 10% Onboarding Adjust this balance based on your product’s stage and strategic priorities—but remember, balance is key. Good luck crafting an exceptional 2025 roadmap! 💪

✨ Product Hack ✨ Highlighting your complementary products isn't just beneficial—it's a revenue game-changer. Here's how Chargebee does it: 🔍 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 Our platform reveals the missing pieces to customers, right when they need them. 🎯 𝗦𝗲𝗹𝗳-𝗦𝗲𝗿𝘃𝗲 𝗧𝗿𝗶𝗮𝗹𝘀 𝗢𝗻 𝗗𝗲𝗺𝗮𝗻𝗱 Skip the demos. Let users dive into free trials and discover value on their terms. 📈 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗦𝗲𝗲 Showcase your add-ons' power with testimonials and ROI that speak volumes. 🛠️ 𝗜𝗻-𝗔𝗽𝗽 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗙𝗿𝗼𝗻𝘁 𝗮𝗻𝗱 𝗖𝗲𝗻𝘁𝗲𝗿 Don't just talk about features—let users explore them with interactive tours and real data. 🚀 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗦𝗲𝘁𝘂𝗽 Quick, intuitive guides make setup feel like a breeze, getting users started instantly. Ready to elevate your product adoption strategy? #productmanagement #adoption

Sync customer data in Harvestr with our API 👨💻 Customer data isn’t always where you want it to be. It might be locked in your data warehouse, stored in a niche CRM, or scattered across tools that don’t easily connect. That’s why we’ve expanded our API's capabilities with major updates: ✅ Import and update customer profiles from any system you’re using ✅ Enhance accounts and contacts with segmentation and revenue insights ✅ Assess product opportunities to maximize business value with data-driven decisions 📖 Explore our API documentation to get started: https://lnkd.in/e9Yut8S3

Transforming Sales and Success feedback into product growth? That’s exactly what Dashdoc achieves with HubSpot x Harvestr. Key benefits: - Smooth Feedback Collection - Revenue-Focused Prioritization - Aligned Feedback Loop Results: 85% team adoption and +150% YoY feedback increase 😍

Our AI system for product feedback categorization has improved by 175% over the past six months. Here’s how we got there 👇 For context, we’ve been working behind the scenes on H-AI: your AI copilot for feedback analysis. H-AI pulls feedback from support tickets, sales calls, Slack conversations—wherever it lives—and automates the categorization to help make better product decisions, faster. We’ve been iterating with existing customers for the past few months, and now it can successfully extract and categorize over 80% of all incoming feedback 💪 Our method: 𝟭. 𝗗𝗼𝗻’𝘁 𝗽𝘂𝘁 𝗮𝗹𝗹 𝘆𝗼𝘂𝗿 𝗲𝗴𝗴𝘀 𝗶𝗻 𝗼𝗻𝗲 𝗟𝗟𝗠 We didn’t blindly rely on a single model like OpenAI. Instead, we carefully benchmarked and selected the right LLMs based on the tasks they needed to perform (extraction, categorization, suggestion, etc.) and on factors like latency and cost. This combination of technologies, applied at the right moments, keeps the system as efficient and reliable as possible. 𝟮. 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁𝗵𝗶𝗻𝗴 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗮𝗻𝗱 𝗺𝗮𝗿𝗸𝗲𝘁 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 It’s not just about using AI in your product—it’s about using it to solve real problems in ways that make a 10x difference. We work with the same LLMs others can use, but we’ve orchestrated them in a unique way to address our customers’ challenges. Our proprietary scoring system, for example, enhances the accuracy of feedback categorization 🎯. 𝟯. 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝟭 𝗼𝗿 𝟮 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝘁𝗼 𝘁𝗿𝗮𝗰𝗸 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀 AI systems get complex fast, so it’s crucial to stay clear on the key metric you’re optimizing. For us, a critical metric is the percentage of feedback H-AI can automatically extract and categorize. Every change to the system is tracked against this metric to ensure we’re always moving forward. ---- I’d love to connect with other product builders experimenting with AI—feel free to DM me for a chat. PS: H-AI will be publicly announced soon, so stay tuned!