ProductFaculty—AI_PRD.xlsx

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2	AI PRODUCT REQUIREMENTS DOCUMENT (PRD) TEMPLATE
3	Your Name:		[Please insert your Full Name]
4	Your Product:		[Please give your AI Product / Feature a Name]
5	Your Industry:		[Please insert the Industry your AI product/feature is in (i.e Financial Services, Healthcare, Education, etc)
6	Date:		[Please insert the Date your started the AI PRD]
7	4D Method		AI PRD
8	Phase	Actvity	Theme	Topic	Key Question(s)	Your Response

9	DISCOVERY	Understand your market, business, product & user context	Business Value Map	Market Attractiveness	What industry is your business in? (ie Financial services, Healthcare, Education, etc)?	[Insert your response here]
10					What are the key challenges (headwinds) and opportunities (tailwinds) impacting growth in your industry? Who are the key competitors?	[Insert your response here]
11					What is the projected growth rate of your target market segment over the next 3-5 years?	[Insert your response here]
12				Business Model	What growth stage is your business currently in (e.g., startup, scale-up, mature)?	[Insert your response here]
13					How does your business make money? What do they sell? What is your primary revenue model (e.g., subscription, freemium, licensing, marketplace, transactional, etc?)	[Insert your response here]
14					Who is your primary customer base (B2B, B2C, B2B2C)?	[Insert your response here]
15				Differentiators	What are the key differentiors for your company?	[Insert your response here]
16			Feature Value Map (IMPORTANT NOTE: This section is only relevant if you are working on enhancing an existing product. It does not apply if you are developing a new product from 0 to 1.)	Customers	Who are the customers (ie buyers) of your product?	[Insert your response here]
17				End Users	Who are the end-users of your product? Which users are the most revenue-generating / revenue-impacting for your company? What are their goals, roles, and context?	[Insert your response here]
18				Current Products / Services	If you are a Product-led business: What are the core features of your product, and how do they address user needs? If you are a Service-led business: What are the key services you offer to customers?	[Insert your response here]
19			User Value Map	Target Persona	Who is your AI product / feature for? (Internal users, external users, an influencer, a buyer, etc)	[Insert your response here]
20				Journey Map (current-state)	What is the typical journey for your target persona when they are using your product / service, focusing on their ideal experience (happy path) as they interact with your product?	[Insert your response here]
21				Pain-points	Where does the user experience friction, obstacles, or unmet needs throughout the journey? Identify which pain-points are most frequent and severe?	[Insert your response here]
22				AI Opportunities	From your list of pain points, identify those that can effectively be addressed using Generative AI. Remember, this project focuses on leveraging LLM-powered AI to solve your target persona's pain points. Rank these pain points starting with the most severe and frequently occurring first.	[Insert your response here]
23		Develop an AI Solution Hypothesis	AI Solution Hypothesis	Diverge	Ideate potential solutions to address your AI-solvable pain points. Focus on generating a high quantity of ideas rather than evaluating their quality at this stage.	[Insert your response here]
24		Develop an AI Solution Hypothesis	AI Solution Hypothesis	Converge	Rank your ideated solutions based on impact and feasibility. Identify your top three AI solutions, and clearly select the one you'll focus on for your project.	[Insert your response here]
25	DESIGN	Define Target State Workflow	UX Flows & Wireframes Suggest Tool: Excalidraw	Workflow (future)	Assuming your product or feature works as desired, what is the target state workflow?	[Insert your response here]
26		Build Wireframes	UX Flows & Wireframes Suggest Tool: Excalidraw	Wireframes	How will users navigate through your AI solution? What are the key steps and decision points? What information will be displayed at each stage? What specific UI elements are needed on each screen? How will the layout accommodate AI features?	[Insert your response here]
27		Develop Prototype to showcase AI interactions	Prototype Screens Suggested Tool: lovable.dev		What aspects of the AI solution will you demonstrate in your prototype? How will the AI inputs, processing, and outputs be presented visually to users? Which features are essential for launch? What can be left for later releases?	[Insert your response here]
28		Initial Prompt Design	Master Prompt [Initial Design]		Create an initial master prompt. Consider the following: What tone or personality should the AI use? How should user input and system instructions be structured for maximum clarity? What system instruction will govern the AI's behavior? What examples might improve performance? How will you format outputs for consistency?	[Insert your response here]
29		Prepare for Testing & Iteration	Evaluation Criteria & Test Plan	Evaluation Criteria	What specific quality benchmarks (e.g., clarity, relevance, tone, accuracy, SEO, hallucination avoidance) will define “good” output?	[Insert your response here]
30		Prepare for Testing & Iteration	Evaluation Criteria & Test Plan	Example Cases	What specific example use cases, edge cases, and negative cases should be covered by test prompts and outputs?	[Insert your response here]
31	DEVELOP	AI Model Selection & Justification	AI Model Selection & Justification		Which AI model is best suited for your solution and why? What capabilities and limitations does it have? How will it integrate with your product?	[Insert your response here]
32		Define Inputs	Input Specification Table	Required Fields	What are the required input fields for the AI (e.g., title, description, keywords, tone)? Indicate format, source, requirement.	[Insert your response here]
33		Define Inputs	Input Specification Table	Optional Fields	Are there any optional or user-customizable fields? How do they impact the AI’s output?	[Insert your response here]
34		Define Good Output	Output Evaluation Checklist	Objective Criteria	What criteria will you use to judge output as “good”? (e.g., structure, use of keywords, tone, factuality, relevance)	[Insert your response here]
35		Define Good Output	Output Evaluation Checklist	Subjective Criteria	Are there any criteria that require human judgment or qualitative assessment?	[Insert your response here]
36		Prompt Design Iteration	Master Prompt [Final Design]	Prompt Version 1	What is your starting system prompt for the model? What variations will you test? What techniques will you use to optimize performance? List initial instructions, persona, inputs, and constraints.	[Insert your response here]
37		Prompt Design Iteration	Master Prompt [Final Design]	Prompt Iterations	If revised, what changes did you make and why? How do you track and record prompt evolution?	[Insert your response here]
38		Data Preparation & RAG Implementation	Data Preparation & RAG Implementation		What data sources will you use? How will you prepare data for model training or evaluation? (e.g., cleaning, structuring). For RAG: How will you chunk, embed, retrieve relevant information?	[Insert your response here]
39		Create Evaluation Set	Example Input/Output Data for Testing	Typical Examples	What are the most common inputs and expected outputs? Use real data if possible.	[Insert your response here]
40			Example Input/Output Data for Testing	Edge Cases & Negative Cases	What examples test the AI’s limits? (e.g., missing data, ambiguous input, out-of-domain)	[Insert your response here]
41			Test Example Data & Review Results	Manual Review	Run your input data with the prompt. How did your output perform in manual review? Which examples failed which criteria, and why?	[Insert your response here]
42			Test Example Data & Review Results	Automated Evaluation	What pass/fail rate or scores did the AI achieve on core criteria?	[Insert your response here]
43			Handle Edge Cases & Iterate	Edge Case Identification	What edge cases did you identify in testing or real usage?	[Insert your response here]
44			Handle Edge Cases & Iterate	Updates & Adjustments	What prompt or system adjustments have you made based on failures, feedback, or edge case observations?	[Insert your response here]
45			Automate Evaluation Approach	Evaluation Method	What is your chosen approach for evaluation (human, model grader, script)? How will you scale testing to diverse/large test sets?	[Insert your response here]
46			Automate Evaluation Approach	Evaluation Frequency	How often will you re-run evaluations for new data, new prompts, or post-launch monitoring?	[Insert your response here]
47	DEPLOY	Finalize Launch & Rollout Plan	Operational Readiness Checklist	Technical Readiness	Is infra (APIs, databases, rate limits, monitoring, rollback) tested and documented?	[Insert your response here]
48			Operational Readiness Checklist	Organizational Readiness	Have internal teams (support, comms, legal) been trained? Is documentation complete?	[Insert your response here]
49			Launch & Rollout Strategy	Launch Approach	What is your launch approach? Pilot, AB test, or all users—who gets access and when?	[Insert your response here]
50			Launch & Rollout Strategy	Scale Readiness	How will you ensure readiness for scale? How will you monitor initial volume and scale up?	[Insert your response here]
51			Go-to-Market Plan	Marketing / Training Assets	What assets (FAQ, demo, guides) will you prepare for external communication/marketing?	[Insert your response here]
52			Go-to-Market Plan	Stakeholder / Internal Comms	How will you communicate launch plans, progress, and outcomes internally?	[Insert your response here]
53			Confirm Legal, Privacy & Risk Protocols	Data & Privacy	How do you handle and protect user data, including storage, privacy, and compliance?	[Insert your response here]
54			Confirm Legal, Privacy & Risk Protocols	Policy & Compliance	Are content moderation, legal, and audit processes in place? Are you compliant with regulations needed for your domain?	[Insert your response here]
55		Define Success Metrics	Success Metrics	User/Business Metrics	What user metrics will indicate success? What business metrics will demonstrate value?	[Insert your response here]
56		Define Success Metrics	Success Metrics	AI Metrics	How will you measure AI performance and accuracy?	[Insert your response here]
57		Monitor, Iterate & Improve	User Support & Feedback Plan	Support Channels	Where can users get support? Is escalation and ownership clear?	[Insert your response here]
58			User Support & Feedback Plan	Feedback Workflow	How do you gather, triage, and act on feedback and bugs? How are critical issues prioritized and communicated?	[Insert your response here]
59			Monitoring & Continuous Improvement	Monitoring Approach	What monitoring/logging is in place to spot operational/AI issues post-launch?	[Insert your response here]
60			Monitoring & Continuous Improvement	Ongoing Improvement	How will you collect learnings, review performance, and update your system continuously post-launch?	[Insert your response here]
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