🚀 Panduan Optimasi Panggilan Penjualan: Strategi Bertenaga AI untuk 2025 ⚡

🎯 Pelacakan Sentimen

• •Indikator Positif:Antusiasme, persetujuan
• •Sinyal Netral:Pencarian informasi
• •Tanda Negatif:Keberatan, kekhawatiran
• •Tanggapan Campuran:Membutuhkan tindak lanjut

✅ Pelatihan Waktu Nyata

• •Prompt Langs Lang Lang ID Lang FC Lang Text Upload File Add Files View All History Show Live Prompt pinned 🎯 What are Live Prompts? Live Prompts are reusable question templates using placeholder variables. Whenever they are used across your projects, we automatically detect and suggest defined variables. This keeps your workflow consistent, saves time, and encourages structured thinking in your team’s workflow. Variables can be inputs like: ❓ Questions you want to ask 🤖 Tasks you want AI to help you with 🧠 Domain knoweldge that is specific to your content or team Live Prompts can be used in rules, comments, and even with external data in Uploaded files. 💡 Tip Try importing your current prompt library from your notebooks, sticky notes, or docs and see what’s the impact of structuring them using Live Prompts 💫 You’ll see ideas that your team spends the most time asking. You can refine and optimize the language using AI and get data-driven insights into your process. Using Live Prompts Define a prompt You can build out a library of prompts and questions that you or your team might repeatedly use across your workspace. To define a Live Prompt: Just define your first placeholder variable in curly braces { } to get started: For example, Wondercraft will convert this to: Once the prompt is created, we’ll store it in your Live Prompts library and automatically suggest variables every time they can be filled. You and your team can define prompts every time you’re creating or editing content with AI. You’ll see the same Experience everywhere where AI is used in Wondercraft. Let’s say you and your team frequently use this prompt: We’ve made the placeholder variables more reusable and discovered some data model fields you might want to know about! Now, the variable’s values can be connected or synced across your given project or workspace. Wondercraft automatically stores AI prompt data models and augments it with all of the prompts and questions you already ask. Working with variables The control panel lets you configure properties and other details of the variable; for example, a default value for your variable: As you use your prompt, the user-facing controls for your variable like this one will be generated in the AI’s context environment: Here are some guidelines on working with variables in your prompts: 🧠 Model Fields These are specialized data models Wondercraft uses internally to structure values you and your team give the AI. For example, a Feature Idea: In the Live Prompt’s variable configuration, you can specify which model fields an idea includes, such as: Task Name Task Details Task Acceptance Criteria Problem Statement Expected Outcome Impact on the Customer Impact on the Company Effort Estimate Working with company-specific, structured data like features, stories, or specs is immensely more effective using Wondercraft’s AI architecture. Atomic information improves the precision, consistency, explainability, and reliability of AI Outputs and summaries. ✨ Independent Variables Use independent variables if you want to ask the same type of question or prompt with different wordings, tones or perspectives. They’re just like function arguments or props passed into your prompts. For example, A Summary Type could include different options to limit the type and length of your summary. Perspective, intended Audience, persona, department, or team member tags can suggest how a variable should be written. 🎯 Context Variables Context variables contain your institutional knowledge and prior responses to the live prompt. As they grow, they become more accurate and helpful for your team. Context Variables help AI to “remember” your previous user-generated ideas, decisions and other artifacts created using your Live Prompt. For example, some samples are a great way to store past outputs of the prompt and use them as solid foundations for future replies. 📖 Context vs Prompt Clarifying a key nuance of Wondercraft’s Prompt Architecture: Prompt variables define how the prompt should behave and include both a label and a description. Context variables contain the values used to flesh out these variables in the prompts. For example, a prompt called “Brainstorm Feature Ideas” might ask for: 📃 Name for the Feature 📋 Feature Description 🧪 Example Scenarios 🌩 Problems it might Cause Here’s how it might be configured in the prompt: Every time your “Brainstorm Feature Ideas” prompt collects user ideas, the AI stores your responses in a knowledge-base. These stored prompt values are context variables. The space of context variables are personalized for your Workspace through your content and Live Prompts. These become the key fuel for Wondercraft’s insights, knowledge, and ideas. Common Applications of Live Prompts Ask better AI Questions Asking the right questions is one of the highest forms of looking for better AI answers. Everyone’s trying to figure out the best way to generalize their personal taste with AI, and the biggest skill for the future is knowing what to ask and how to structure your questions. Used well, Wondercraft’s Live Prompts helps teams standardize and align on question templates that serve workflows. Prompt customization can be equally or sometimes more useful for teams than the model or provider you choose. By creating and refining your prompt templates, you and your team are all helping future users ask better questions. Over time, your library of golden prompts will resemble a mapping of your creative and analytic strengths and strategies. 🔬 Analyze patterns in questions With live prompts, you will get structured data behind the prompts that your team uses frequently and repeatably in your Workspace. You can use this data to double-down on your strengths and understand patterns in your workflows. Future data views will help you break down your prompt effectiveness and team usage across all your workspace data and content. Ways to use Live Prompts in your Workflows Idea validation for Product and Marketing teams Use live prompts to collect structured, comparable feedback on ideas that your team comes up with. Some categories include: 👩‍💻 Product Feature ideas with Template Variables like use-case, value-proposition, expected-outcomes, measured-impact, expected-usage. ❓ Questions for Customer Research, Feedback, or Interviews 📣 Campaign Ideas for performance marketing or product marketing teams 💬 Social Media Content Ideas with themes, formats, hooks, or visual language Preview and audit future ideas Once you have a list of ideas using live prompts, you can start getting future answers now by asking future-looking questions like: How might this behavior change based on new user data or trends? What are contrarian but true insights about this idea? How can we represent this differently to customers? With which positioning in the market, would this idea be the most effective? With live prompts, these are questions you can repeatedly ask to compare different ideas, helping your team be more effective with your strategy or validation. 🎓 Learn faster and explain things better to help others Creating live prompts for topics you’re learning or areas where your team specializes can help you deeply understand the material and transmit that learning more effectively through: ✅ Quiz Prompts 👨‍🏫 Expert Teacher Prompts 🧪 Experiment Prompts 🧠 Mental Model Prompts 📖 Glossary & Definitions Prompts Real learning scores Capturing your questions and answer patterns using Live Prompts can help you measure your depth of understanding. It turns your questions into a trail of breadcrumbs you can follow later to revisit and strengthen your own learning. For teachers and learning communities, these patterns reflect how your students and peers learn, where they get stuck, and what questions help them to unlock more insights. They help you test your knowledge and thinking in new dimensions and can better help them reach new levels of understanding. 💼 Set your personal & team standards for excellence In your most important workflows, you can instantiate Live Prompts to help you craft your gold standard expectations of quality. You can benchmark your new ideas or work against these standards, or generate “rough drafts” that fit your criteria. For example: ✍️ Creative Writing Prompts 🎨 Design Review Prompts 💬 Product Feedback Prompts 📌 Decision-making prompts By pre-defining what good looks like and structuring how you think about different scenarios, you can build your own mental models into Wondercraft’s memory, helping more people get up to speed and collaborate more effectively on creative, ambitious work. You learn the thought patterns your best team members use and pass them along to others. 🧠 Architect your team’s institutional knowledge As your team uses Live Prompts, Wondercraft helps you learn your taste and thinking, and then transform that into structured knowledge that can be reused in new ways for future insights. As a data and meta-cognition layer for your institutional knowledge, Live Prompts help you define the set of golden questions your team uses to explore the world. Instead of just becoming an idea-factory, you can build a living, fetchable, searchable mapping of your questions, prompts, and answers. This evolving, always-improving knowledge base trains your workspace and helps unlock superpowers for everyone in your team. 🧬 Managing Prompts Understanding the Prompt Sidebar elements Wondercraft groups related prompt variables into tabs. These groupings assign variables into different use cases and workflows. The Prompt Architecture gives your team better control and coordination over how AI behaves across multiple projects and uses. The sidebar contains: Prompt & Context Variables section These generate reusable and shareable user-facing controls in the workspace. Prompts describe behavior. Context is user content. They both work together to make it easier to think and ask questions. A change in a prompt variable’s label automatically shows up anywhere that variable is used across your workspace. Instructions Includes top-level settings and instructions for content or tasks the user and AI are working on. It controls scope and lets you define specific preferences for tone, style, or anti-preferences. For example, for Product Announcements, you can define a prompt for how your team wants to structure all announcements — templates, examples, and more. Summary Highlights Your Workspace will automatically show you your Prompt Summary in many places. This view organizes and reports how Live Prompts are used throughout your Workspace — giving you a high-level perspective on usage and quality. It will group prompts into: Vault Prompts Project Prompts Global Prompts Sometimes, a lot of what you do in any creative and professional domain is try to ask the right questions. Live Prompts are the skeleton keys to these questions in Wondercraft. They help your team understand what your real questions are, and how to go multi-dimensional in your answers. And, importantly, they help you teach your future self and others how to choose and use the right prompts for different situations.Sarankan pertanyaan berikutnya selama panggilan
• •Peringatan Keberatan:Tandai kekhawatiran untuk respons segera
• •Deteksi Pesaing:Peringatan saat pesaing disebutkan
• •Peringatan Waktu Bicara:Seimbangkan alur percakapan

💼 Integrasi HubSpot

🎯 Pemberdayaan Manajer

• •Pelatihan Dashboard:Pemantauan & interpretasi KPI
• •Kerangka Coaching:Metode umpan balik terstruktur
• •Ulasan Kinerja:Evaluasi berbasis data
• •Tolok Ukur TimPerbandingan lintas tim

💵 Metrik Pendapatan

✅ Hal yang Boleh Dilakukan: Strategi Sukses yang Terbukti

• ✓
  Mulai dengan kelompok percontohan:Uji coba terlebih dahulu dengan para kinerja terbaik untuk membangun kepercayaan diri
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  Fokus pada indikator utama:Lacak perilaku yang memprediksi hasil pendapatan
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  Integrasikan dengan alur kerja yang sudah ada:Meminimalkan gangguan terhadap proses yang telah terbukti
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  Sesi coaching rutin:Rapat tinjauan mingguan menggunakan wawasan AI