Primer – How to Use Claude Code on Windows 11 (Paid & Free)

Primer – How To Use Claude Code on a Windows 11 Laptop (With and Without Subscriptions)

Primer – How To Use Claude Code on a Windows 11 Laptop (With and Without Subscriptions)

Questions addressed by this primer:

  • What is Claude Code and how is it different from “regular” Claude?
  • How do you install Claude Code on a Windows 11 personal laptop using VS Code?
  • How do you use Claude Code with a paid Claude subscription (Pro / Max or API)?
  • How do you use a Claude Code–style setup without a Claude subscription, using free local models via Ollama?
  • What are the pros and cons of paid vs free Claude Code setups for individual developers and small teams?

What is Claude Code?

Claude Code is an AI coding assistant built around Anthropic’s Claude models that integrates directly into your developer workflow. Unlike chatting with Claude in a browser, Claude Code is designed to:
  • Read and understand your entire codebase (or large parts of it).
  • Propose multi‑file changes, including generating new files and refactoring existing ones.
  • Apply those changes automatically (with your approval) through your editor or the command line.
From a developer’s perspective, Claude Code gives you:
  • A “pair programmer” that can see the same files and project structure as you.
  • A refactoring engine that can plan and execute series of edits.
  • A teacher that can explain unfamiliar code, libraries, and frameworks in natural language.
The key design idea is that Claude Code is agentic: it does not just answer questions; it can plan steps, propose patches, and then apply those patches to your repository.

Pre‑requisites: What you need before installing Claude Code

Before you install and use Claude Code on a Windows 11 personal laptop, you need a few basic components in place.

1. Windows 11 and a browser

  • Confirm that your machine is running Windows 11.
    • Go to Start → Settings → System → About and check the version.
  • Ensure you have a modern browser such as Microsoft Edge, Google Chrome, or Firefox for downloading tools and signing into accounts.

2. Visual Studio Code (VS Code)

Claude Code integrates most naturally with Visual Studio Code (VS Code), which is free and widely used. To install VS Code on Windows 11:
  1. Open your browser and go to the official Visual Studio Code website (search for “Download Visual Studio Code” and select the official result).
  2. Click “Download for Windows” and save the installer.
  3. Once downloaded, double‑click the installer file (for example VSCodeUserSetup‑x64‑…exe).
  4. Accept the license agreement and keep the default options.
  5. Click “Install”, then “Finish” to launch VS Code.
You should now see the VS Code welcome screen.

Using Claude Code with a Claude subscription (Pro / Max / API)

In this section, we cover the “official” way to use Claude Code: you call Anthropic’s Claude models through a paid plan or API. This is similar to how cloud‑hosted coding copilots operate.

Claude subscription and API options

As of 2026, Anthropic provides two main access paths for individuals and small teams:
  • Claude consumer subscription (Pro / Max)
    • Pro: monthly subscription with higher usage limits than the free tier, suitable for regular coding work.
    • Max: premium tier for heavy users (e.g., production developers, power users).
  • Claude API (pay‑as‑you‑go)
    • You create an API key in Anthropic’s developer portal.
    • You pay per token for models like Claude Haiku, Sonnet, or Opus.
Claude Code can work with both: either it signs you in via browser (using your Pro/Max account), or it uses an API key you configure.

Step 1 – Create your Claude account and (optionally) subscribe

  1. Open your browser and search for “Claude AI”.
  2. Go to the official Anthropic Claude website.
  3. Click “Sign up” or “Get started”.
  4. Create an account with your email and password; verify your email.
To subscribe:
  1. Inside the Claude app, go to “Account”, “Billing”, or “Plans”.
  2. Choose a plan such as Claude Pro or Claude Max.
  3. Enter your payment information and confirm.
To enable the API:
  1. Go to the “Developer” or “API” section of your Anthropic/Claude account.
  2. Click “Create API key”.
  3. Copy the key and store it securely.
  4. (Optional) Set up billing if you want to go beyond free or trial credits.

Step 2 – Install the Claude Code extension in VS Code

Anthropic provides an official Claude Code extension for VS Code. To install:
  1. Open VS Code.
  2. Click the “Extensions” icon on the left (four squares) or press Ctrl + Shift + X.
  3. In the search bar at the top, type: Claude Code.
  4. Locate the extension published by Anthropic.
  5. Click “Install”.
  6. If prompted, click “Reload” to activate the extension.
Alternatively:
  1. Visit the official Claude Code extension page in the Visual Studio Marketplace.
  2. Click “Install” on the web page.
  3. Allow it to open VS Code and complete the installation.

Step 3 – Connect Claude Code to your Claude account or API key

Once the extension is installed, you configure it to talk to Claude’s servers.
  1. In VS Code, press Ctrl + Shift + P to open the Command Palette.
  2. Type Claude Code to filter commands related to the extension.
  3. Run a command such as “Claude Code: Open Settings” or “Claude Code: Sign in”.
You will typically see two main options:
  • Sign in with your Claude account (Pro / Max)
    • Click “Sign in”.
    • A browser window opens.
    • Log in with the same email and password you used for Claude.
    • Confirm that you want to allow the extension access.
  • Use an Anthropic API key
    • Enter your API key into the text box for API token.
    • Save the settings.
Once configured, the extension can call Claude models on your behalf.

Step 4 – Run your first Claude Code session in VS Code

To test Claude Code with your subscription or API:
  1. Create a folder on your machine, for example C:\Users\<your‑name>\Desktop\ClaudeDemo.
  2. Open VS Code and go to File → Open Folder, then choose ClaudeDemo.
  3. Create a new file, for example hello.py.
  4. Add a comment describing what you want:
    # I want a Python script that prints the numbers 1 to 10
    
  5. Select this line or place your cursor near it.
  6. Open the Claude Code side panel or right‑click and choose a context menu entry such as “Ask Claude” or “Claude: Generate Code”.
  7. Ask Claude to “Generate the script”, and wait a few seconds.
Claude Code will propose the code. You can insert the suggestion, run it, and ask for refinements like “Add error handling” or “Explain what this script does line by line”.

Step 5 – Recommended settings for individual developers

Within VS Code, open Settings and search for “Claude Code”. Key settings to consider:
  • Default model
    • Use Claude Sonnet for balanced speed and quality.
    • Use Claude Haiku for quick, low‑cost suggestions on smaller tasks.
    • Use Claude Opus for deep reasoning on complex refactors, while watching cost.
  • Context visibility
    • Enable reading of the current file, open editors, and optionally the project tree, depending on privacy and performance needs.
  • Telemetry
    • Decide whether to allow anonymous usage data being sent to the extension authors. You can switch this off if privacy is a higher priority.

Using Claude Code without a Claude subscription: local models via Ollama

Not every developer or small business wants to commit to another monthly subscription or pay‑as‑you‑go API. An increasingly popular alternative is to:
  • Keep the Claude Code–style experience (planning changes, giving instructions in natural language).
  • Replace Claude’s hosted models with local, open‑source models running through Ollama.
Conceptually, you are using:
  • Claude Code as the agent or shell.
  • Ollama as the local model runtime.
Instead of sending prompts to Anthropic’s servers, Claude Code sends them to Ollama running on your own machine, and Ollama uses an open‑source model (such as Qwen or Llama) to answer.

Step 6 – Install Ollama on Windows 11

Ollama is a free tool that downloads and runs large language models on your machine and exposes a local API endpoint for tools like Claude Code.

6.1 Download and install Ollama

  1. Open your browser and search for “Ollama Windows”.
  2. Go to the official Ollama site and download the Windows installer.
  3. Save the installer (for example OllamaSetup.exe).
  4. Open your Downloads folder and right‑click the installer.
  5. Choose “Run as administrator”.
  6. If Windows shows a SmartScreen warning, click “More info”, then “Run anyway”.
  7. In the setup wizard:
    • Accept the license terms.
    • Keep the default installation location.
    • Make sure “Add Ollama to PATH” is checked.
    • Complete the installation.

6.2 Verify Ollama installation

  1. Press Start, type “PowerShell”, and open Windows PowerShell.
  2. Type:
    ollama --version
    
  3. Press Enter.
If you see a version string, Ollama is installed correctly. If not, restart PowerShell or your computer, or re‑run the installer and confirm the PATH option.

Step 7 – Download a local model via Ollama

To use Claude Code without Claude’s cloud, you need an actual model to answer prompts. Ollama maintains a library of models, including several that can handle coding tasks.

7.1 Choose an appropriate model

  • On a laptop with 8 GB RAM, prefer smaller models that fit comfortably in memory.
  • On a laptop with 16 GB RAM or more, you can try larger code‑centric models with better output quality.
Check the Ollama model library page for recommended models for coding tasks.

7.2 Pull a model

  1. Open PowerShell.
  2. Use the ollama pull command to download a model, for example:
    ollama pull qwen
    
    or
    ollama pull codellama
    
  3. Wait for the download to complete.

7.3 Test the model locally

  1. In PowerShell, run:
    ollama run qwen
    
    (replace qwen with your chosen model name).
  2. At the prompt, type:
    Write a JavaScript function that returns the square of a number.
    
  3. Press Enter and review the response.
  4. Press Ctrl + C to exit.
If the model responds sensibly, you are ready to integrate it into a Claude Code–style flow.

Step 8 – Connect Claude Code to Ollama instead of Anthropic’s cloud

This is where the “free Claude Code” setup becomes real. Instead of using Anthropic’s endpoint and key, you point Claude Code at Ollama’s compatible interface. At a high level, you will:
  1. Install and configure Claude Code or its CLI interface.
  2. Set configuration or environment variables so that the Anthropic base URL used by Claude Code is actually http://localhost:11434, which is Ollama’s default local URL.
  3. Configure the model name in Claude Code to match the model you pulled in Ollama (for example qwen).
Once this mapping is in place:
  • Claude Code sends Anthropic‑style prompts to localhost:11434.
  • Ollama passes the request to your chosen open‑source model.
  • Claude Code receives the response and continues its agentic workflow: planning changes, proposing edits, and applying patches.
Important note: even though the tool is called Claude Code, in this mode you are running Claude Code as a shell around non‑Claude models. You are not running Anthropic’s Claude itself for free.

Step 9 – First end‑to‑end free session (Claude Code + Ollama) on Windows 11

To validate that your free setup works:
  1. Ensure Ollama is running. If needed, open PowerShell and run:
    ollama serve
    
  2. Ensure Claude Code is configured to use the local endpoint and your chosen model.
  3. Open a small project folder in VS Code.
  4. Ask Claude Code to perform a realistic task such as:
    • “Scan this repository and suggest a better folder structure.”
    • “Refactor this legacy function into smaller, more testable components.”
  5. Observe the planning steps and proposed patches.
  6. Approve the patches and verify the edits are applied as expected.
At this point, you have a functional, Claude Code–style coding assistant on your Windows 11 laptop without any Claude subscription.

Comparing paid vs free Claude Code approaches

Advantages of the paid Claude Code setup

  • Best‑in‑class model quality for reasoning and complex code understanding.
  • Simpler setup: sign in, add an API key or subscription, and start working.
  • Scales well for large or critical projects.

Disadvantages of the paid setup

  • Ongoing subscription or API cost.
  • Code and prompts leave your machine to be processed in the cloud.

Advantages of the free Claude Code + Ollama setup

  • No Claude subscription cost when using local models.
  • Greater control over data if everything runs locally.
  • Freedom to experiment with different open‑source models.

Disadvantages of the free setup

  • More complex installation and configuration.
  • Performance depends heavily on your hardware.
  • Open‑source models may still be weaker than Anthropic’s Claude on the hardest tasks.

When should you use which approach?

Use a paid Claude Code setup if:
  • You want the highest possible code understanding and reasoning quality.
  • You prefer minimal configuration and are comfortable paying for usage.
  • Your projects are large, complex, or safety‑critical.
Use the free Claude Code + Ollama setup if:
  • You are cost‑sensitive (student, hobbyist, early‑stage founder).
  • You prioritize keeping code and prompts on your own machine.
  • You enjoy experimenting with tools and models and can handle some setup work.

Closing thoughts

Claude Code offers a powerful way to bring AI deeper into your daily development workflow. On a Windows 11 personal laptop, you can:
  • Install VS Code, add the official Claude Code extension, and connect to Claude via subscription or API for a high‑quality, cloud‑backed coding assistant.
  • Or, if you prefer not to subscribe, combine Claude Code’s agentic workflow with free, local models via Ollama and achieve a similar experience without ongoing Claude costs.
Both paths are viable. The right choice depends on your budget, your privacy requirements, and how much configuration you are willing to manage on your own machine.
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Primer - Startup Positioning Narrative Framework For Founders

Startup Positioning Narrative Framework: Claim A Wedge For Founders

Startup Positioning Narrative Framework: Claim A Wedge For Founders

Questions Addressed By This Primer

  • How do you build a startup positioning narrative framework that investors and customers can repeat in one sentence?
  • What are the concrete steps to turn a vague vision into a sharp, testable wedge story that guides product and GTM decisions?
  • How should founders define the “enemy,” the “wedge,” and one flagship proof moment so the story feels credible rather than inflated?
  • What recent shifts in fundraising and AI-heavy markets make wedge-focused positioning more important than generic category claims?
  • What risks come from an over-broad or fundraising-only narrative, and what signals show that the story is starting to drift?

Executive summary / TL;DR

A startup positioning narrative framework turns “what the product does” into a crisp belief about why the market is changing, why the old way is failing, and why the team’s wedge is the fastest path to proof. Done well, it doesn’t inflate the vision. It makes the vision credible by anchoring it to a narrow, winnable first beachhead and a clear tradeoff that competitors won’t take. The practical outcome is sharper investor meetings, faster customer learning, and fewer deck rewrites because the story drives the slides, not the other way around. The playbook below helps founders pick the right enemy, define a wedge that buyers can repeat, and connect early evidence to a long-term arc without overpromising. It’s built to work whether the motion is sales-led, PLG, services-first, or marketplace.

Background and context

Most early-stage companies don’t lose because the product is confusing. They lose because the story is indistinguishable from everyone else’s story, so prospects and investors can’t form a simple mental model of what the company will be “known for” first.

Positioning is the choice of a battleground, not a description of features. Narrative is how that choice becomes memorable and transferable across a deck, a website, outbound messages, demos, and hiring conversations. When narrative and positioning drift apart, the company starts pitching an empire while operating a wedge, and the wedge never compounds into a category.

A strong narrative does two jobs at once. It reduces perceived risk by making the wedge feel inevitable, and it creates urgency by making the status quo feel fragile, expensive, or outdated.

Startup positioning narrative framework essentials

A useful startup positioning narrative framework can be judged by three tests. It should be repeatable by someone else, defensible in a competitive conversation, and usable as a decision filter for product and GTM choices.

Repeatability means a buyer can explain the company in one sentence without needing a follow-up call. Defensibility means the story has a sharp tradeoff that rules out a credible alternative, not just a “better” version of the same approach. Usability means the story tells the team what to say no to, even when the opportunity looks tempting.

If any one of those tests fails, the narrative might still sound good, but it won’t steer the company. And when the story doesn’t steer the company, the market ends up steering it.

Step-by-step playbook (4–7 numbered steps)

  1. Name the change, not the trend.
    Start with a market shift that changes what buyers can do, not a buzzword they’ve already heard. “AI is everywhere” isn’t a shift. “Decision-making moved from dashboards to workflows, so the UI is no longer the product” is a shift. If the shift can’t be linked to a concrete before-and-after in the buyer’s day, it’s too abstract.

  2. Pick a single enemy the buyer already hates.
    The enemy is rarely “competition.” It’s the costly behavior the buyer is stuck in: manual reconciliation, long security reviews, spreadsheet approvals, brittle integrations, or the constant swivel-chair between tools. Don’t describe the enemy as incompetence. Describe it as an outdated default that smart teams still fall into because incentives and tooling push them there.

  3. Define the wedge as an unfair tradeoff.
    A wedge isn’t a small market. It’s a small promise that can be proven quickly. The wedge should include a tradeoff competitors won’t match without breaking their model: setup time vs control, speed vs customization, self-serve vs compliance, automation vs explainability, or breadth vs depth. If there’s no tradeoff, the wedge is just a niche label.

  4. Write the “because” sentence.
    Create one sentence that ties the shift to the wedge:
    “For [ICP], the old way fails because [enemy], so [company] wins by [wedge mechanism], which shows up as [measurable outcome].”
    This sentence becomes the spine for the deck’s problem slide, solution slide, and why-now slide. It also keeps messaging from drifting into feature tours.

  5. Prove the wedge with one flagship moment.
    Pick a single moment that makes the wedge tangible: a 10-minute onboarding, a “first report” delivered in a day, a security review completed with one evidence pack, or a workflow that closes the loop without handoffs. That moment should be demonstrable live. It’s okay if the rest of the product is still evolving, but that flagship moment can’t be fuzzy.

  6. Connect early proof to a believable expansion path.
    Investors and buyers will ask, “What happens after the wedge works?” The answer shouldn’t be “we’ll go upmarket” or “we’ll add features.” It should be a sequence: adjacent user, adjacent workflow, adjacent buyer, adjacent channel. That sequence keeps the long-term vision intact without claiming every customer on day one. If the expansion path can’t be described in three steps, it’s too loose.

Deep dive: tradeoffs and examples

A wedge story often breaks in two predictable ways. The first is when the narrative promises a platform but the wedge only delivers a tool, so the buyer hears “extra risk.” The second is when the wedge is real but framed as a category that’s too broad, so the company picks a fight with incumbents before it has proof.

One way to keep the narrative honest is to separate “vision language” from “wedge language.” Vision language explains the direction of travel and the future default. Wedge language explains what ships now, why it’s different, and what it replaces first. The deck and website can hold both, but the opening must lead with wedge language or the meeting turns into a debate about market size instead of execution.

For an investor-facing example of keeping ambition while tightening the first claim, adapt the narrative discipline used in Series A investor expectations. The story earns attention by making the first proof point concrete and then letting the category expansion read as a consequence, not a hope.

For a customer-facing example, a wedge narrative gets stronger when it ties to ROI and pricing reality instead of generic efficiency claims. The thinking behind AI ROI and pricing reality maps well here because it forces a “what replaces what” answer and a measurable outcome that a buyer can defend internally.

For a category narrative example, it helps to study how large players frame “owning the stack” to justify focus, sequencing, and why-now. Even if the product is different, the narrative mechanics in owning the stack as strategy can inspire a clearer cause-and-effect chain between wedge, control points, and long-term leverage.

What changed lately 

More founders are competing in crowded markets where surface-level differentiation disappears fast, especially in AI-enabled categories. That’s pushed investors to look harder for what Andreessen Horowitz describes as an “earned secret,” meaning a differentiated approach and head start that isn’t available to every fast follower with the same tools.

Alongside that, the wedge conversation has matured. The most credible wedge pitches aren’t “smaller versions of the end state.” They’re deliberately chosen entry points that set the competitive arena by choosing words, scope, and the first buyer where winning is plausible, a point emphasized in a16z Speedrun guidance on finding a wedge.

The practical implication is simple. Positioning work is shifting from clever taglines to proof-backed narrative choices: a narrower first promise, a clearer tradeoff, and a sharper explanation of why the new default should exist now, not someday.

Risks and what to watch next 

A wedge story can become a trap if it’s optimized only for fundraising. If the wedge doesn’t map to a repeatable acquisition channel and a repeatable activation moment, the company can win meetings and still lose quarters.

Another risk is “vision inflation,” where the story keeps expanding to avoid saying no. That can quietly reset the competitive set from “small and winnable” to “broad and crowded,” which slows down learning and makes every objection feel valid. A useful corrective is the reminder to sell the wedge that can be proven, not the empire that might exist later.

Watch for one operational signal. If sales calls and product decisions keep requiring exceptions to the narrative, the narrative isn’t acting as a filter, and the wedge likely isn’t sharp enough to defend.

For a fast rewrite that turns the current deck and website into one coherent story, use the framework above and then book a call to pressure-test the wedge, tradeoffs, and flagship proof moment against real investor and buyer objections.

A narrative that compounds doesn’t need to be loud. It needs to be specific, provable, and consistent across every touchpoint, so the market starts repeating it for you.

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Primer - How To Prioritize Customer Requirements using MoSCoW Framework

What is MoSCoW Framework? What are the Pre-Requisites before MoSCoW Framework can be implemented?How to Determine Priority of Requirements? Why MoSCoW

The MoSCoW Framework to Align Customer Requirements with Value

Questions Addressed by this Primer:

  • What is MoSCoW Framework?
  • What are the Pre-Requisites before MoSCoW Framework can be implemented?
  • How to Determine Priority of Requirements?
  • What is difference between MoSCoW and Agile Frameworks?
  • When to Use the MoSCoW Framework?

What is MoSCoW Prioritizing Methodology?

The MoSCoW method is a popular prioritization technique for managing requirements, aligned with value driven outcome. Software development expert Dai Clegg created the MoSCoW method while working at Oracle. He designed the framework to help his team prioritize tasks during development work on product releases. Detailed account of using MoSCoW prioritization in the Dynamic System Development Method (DSDM) handbook.


Video summary of the article:

The acronym MoSCoW represents four categories of initiatives: must-have, should-have, could-have, and won’t-have. Some companies also use the “W” in MoSCoW to mean “wish”.

1. Must-have initiatives are “musts” for your team. They represent non-negotiable needs for the project, product, or release in question. For example, if you’re releasing a healthcare application, a must-have initiative may be security functionalities that help maintain compliance.

2. Should-have initiatives are just a step below must-haves. They are essential to the product, project, or release, but they are not vital. If left out, the product or project still functions. However, the initiatives may add significant value.

3. Could-have initiatives would be nice to have but are not essential.

4. Won’t-have (this time) initiatives are those that are not essential and can be excluded from the project without jeopardizing its success.

What are the Pre-Requisites before MoSCoW can be implemented?

Before running a MoSCoW analysis, a few things need to happen. First, key stakeholders and the product team need to get aligned on objectives and prioritization factors. Then, all participants must agree on which initiatives to prioritize. At this point, the team should also discuss how they will settle any disagreements in prioritization. If you can establish how to resolve disputes before they come up, you can help prevent those disagreements from holding up progress. Finally, you’ll also want to reach a consensus on what percentage of resources you’d like to allocate to each category.

How to Determine Priority of Requirements?

With the groundwork complete, you may begin determining which category is most appropriate for each initiative. To choose an objective ranking or scoring system for MoSCoW prioritization, you will need a separate ranking methodology. You can choose from many, such as:

1. Weighted Scoring: A prioritization method that assigns scores to initiatives based on their importance and impact.

2. Value vs. Complexity: A prioritization method that evaluates initiatives based on the value they provide and the complexity of implementing them.

3. Kano Model: A prioritization method that evaluates initiatives based on their ability to satisfy customers.

4. Buy-a-Feature: A prioritization method that involves customers or stakeholders in the decision-making process by giving them a budget to "buy" the features they want.

5. Opportunity Scoring: A prioritization method that evaluates initiatives based on their potential to generate revenue or achieve strategic goals.

Scenario: How do Apply MoSCoW to a Software Release?

Here is an example of how a tech company might apply the MoSCoW method to prioritize features for a new software release:

1. Must-have: These are non-negotiable requirements that the software must have in order to function. For example, compatibility with the latest operating systems and security features to protect user data.

2. Should-have: These are important features that add significant value to the software but are not vital for its basic functionality. For example, integration with other commonly used software or improved performance and speed.

3. Could-have: These are desirable features that would enhance the user experience but are not essential. For example, a new user interface design or additional customization options.

4. Won't-have (Wish): These are features that are not essential and can be excluded from the current release without jeopardizing its success. For example, support for less commonly used languages or niche functionality.

The tech company would gather all the requirements for the new software release and evaluate their value and urgency vs the value they create. Each requirement would then be assigned to one of the four MoSCoW categories using clear and objective criteria.

MoSCoW vs Agile Methodology:

The MoSCoW method and Agile methodology are not directly comparable as they serve different purposes. The MoSCoW method is a prioritization technique that can be used within Agile methodology to help manage requirements.

Agile methodology is a project management approach that emphasizes flexibility and customer satisfaction. It involves iterative development, where requirements and solutions evolve through the collaborative effort of self-organizing cross-functional teams.

Here are 2 pros and cons of each:

MoSCoW method:

Pros:

  1. Easy to use and understand.
  2. Helps resolve disputes and form agreements with stakeholders.

Cons:

  1. Can be subjective as it relies on the team's judgment to categorize initiatives.
  2. May not work well for complex projects with many interdependent tasks.

Agile methodology:

Pros:

  1. Emphasizes flexibility and adaptability to changing requirements.
  2. Encourages customer involvement and feedback throughout the development process.

Cons:

  1. Can be challenging to implement in organizations with rigid hierarchies and processes.
  2. May require more time and effort for planning and communication.

Conclusion:

The MoSCoW method is a prioritization technique that can be used to manage requirements. It is generally used in Agile project management and software development companies, but the principles can be useful for helping any business to prioritize tasks.

You can use the MoSCoW method when you need to:

  • Prioritize tasks or initiatives within a project.
  • Resolve disputes and form agreements with stakeholders.
  • Ensure a minimum viable product is produced.
  • Set priorities at different levels of the development pipeline. 

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Primer - What is a Business Model and How to Write One

What is a Business Model? How to write a Business Model? What are the key tenants of a Business Model? What are examples of Business Models? SaaS

What is a Business Model and How to Write one

Questions Addressed by this Primer:

  • What is a Business Model?
  • How to write a Business Model?
  • What are the key tenants of a Business Model?
  • What are examples of Business Models?
  • What should a Business Model cover?
  • How to write a Business Model for a SaaS?

What is a Business Model?

A business model, in general, is a blueprint for how a company intends to produce and capture value. This might encompass anything from the items or services the company intends to offer to the target market to whom the company intends to sell to the method by which the company intends to earn income.

What are the key tenants of a Business Model?

One of the first stages in beginning a business is to develop a business model. This is because the business model will define many critical aspects of the firm, such as the revenue streams and operational expenses. Businesses should begin by thinking all of the numerous ways they may potentially generate value and so make money. After they have a clear knowledge of the many revenue sources accessible to them, they can begin to narrow down which options are the most viable and would work best for their firm.


After a company has decided on a few prospective income streams, it should consider its target market. Who are the customers most likely to purchase the products or services offered by the company? What are the clients' needs that the company can meet? Addressing these questions will assist the company in tailoring their products or services to better fit the demands of their target market, increasing the likelihood of sales.


After deciding on a target market and identifying a few prospective income sources, the following stage is to develop a strategy for generating money. This strategy should include how the company will promote and sell its products or services, as well as the prices for these items or services. The strategy should also contain a budget for the marketing and advertising activities that the company will need to conduct in order to reach their target market.

How to Apply a Business Model to a SaaS Offering?

Now let's apply this high-level framework to a "Software as a Service (SaaS)" Offering:

What is a SaaS?

SaaS business models are focused on offering software on a subscription basis. The price model is often subscription-based, with consumers paying a monthly cost for access to the software. Businesses must have a clear grasp of their value proposition, target market, and pricing strategy before developing a SaaS business model.

Value Proposition: 

Your value proposition is why your target market should purchase your software. What will your software provide for your consumers that they won't be able to find anywhere else? How would it improve their lives? Once you've developed a solid value proposition, you may consider your target market, pricing approach, and go-to-market (GTM) plan.

Target Market: 

Who are you going to sell your software to? What are the market's demands that your program can meet? What are the market's demographics? What are the rivals' pricing strategies in this space? You may begin to develop your pricing plan once you have a solid grasp of your target market.


Pricing Strategy: 

There are several price models available for SaaS firms, and the one you pick will be determined by your target market and value offer. Subscription-based, pay-as-you-go, and usage-based pricing schemes are the most frequent.

Customers pay a monthly price for access to your product when you use subscription-based pricing. This is the most prevalent pricing plan used by SaaS companies. Customers that utilize pay-as-you-go pricing pay only for the resources they use. This pricing model is frequently employed by enterprises with varied consumption patterns.

Customers that pay on a usage basis pay for your program each time they use it. This pricing model is frequently employed by enterprises with high-volume usage or that need to track consumption for invoicing purposes.

When you've decided on your price model, you should think about your marketing strategy. How will you reach out to your target audience? What marketing and sales strategies would you use for your product?

There are several potential go-to-market tactics for SaaS companies. Direct sales, collaborations, and resellers are all typical methods of distribution. Each of these techniques has advantages and downsides, so you must carefully assess which one is best for your company.

You may begin to build out your SaaS business model once you have a firm grasp on your target market, value offer, and pricing plan. You'll be able to take your company to the next level if you have a well-defined business plan.


Since the early 2000s, SaaS has been a popular business model for many companies. Salesforce, HubSpot, Workday are success stories of companies using SaaS, whilst three companies – Basecamp, clubhouse, and Teespring – have all failed after using the SaaS business model.

Developing a business model is an essential step for any company, large or small. It will aid in determining the viability of the firm and provide the owners with a better grasp of the various methods they might generate money. Businesses may boost their chances of success and be better prepared for the difficulties that lie ahead by taking the time to develop a business model.
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