Product Pulse: An AI-assisted analytics dashboard for digital products.
Client: Worthwhile Venture Studio
Product Direction & Design, Customer Research & Discovery, GTM Strategy: Claire Tomm
Get to the heart of what matters.
Data is the lifeblood of your digital product. But only if you know how to make sense of it.
Product Pulse leverages AI to transform raw metrics into clear, compelling narratives that reveal where you're headed and why it matters. See what you couldn’t before, so you can build a stronger story, a smarter product, and a better future.
Turn metrics into momentum.
With Product Pulse, every user, from founder to funder, gets a clear, automated view of what matters most.
Less noise, more clarity, and real-time answers to the question every startup lives and dies by: “How’s it going?”
PERSONA:
Ashley, Founder
42 yrs old
Give me the right story, instantly.
Navigates constant context switching across product, growth, and fundraising
Needs to convey progress clearly, even without a metrics background
Feels pressure to respond instantly to investor updates
Product Pulse uses AI to translate Ashley’s product data into a narrative that matches investor expectations. Real-time dashboards auto-generate traction summaries, highlight growth patterns, and suggest investor-ready talking points, making her always pitch-ready without spending hours in spreadsheets or dashboards.
“Give me the right story, instantly, I don't have a background in this stuff and I have a million other hats to wear." ~ Ashley
PERSONA:
Chris, Investor
57 yrs old
Show me who’s winning.
Juggles dozens of portfolio companies
Needs to identify red flags early and surface top performers
Relies on founders to self-report with varying levels of quality
AI in Product Pulse scans portfolio data for early signals (ex: drops in user retention, flat activation rates) and delivers proactive insights. For Chris, this means quicker portfolio triage, less reliance on founder guesswork, and more confident investment decisions.
“Show me which of my startups are winning, or need a call. I'm tired of babysitting, show me what I care about." ~ Chris
PERSONA:
Jack, Product Manager
28 yrs old
What does the CEO need?
Experience with enterprise practices, but adjusting to a start up culture and limited tools
Struggles to convert raw metrics into executive-level clarity
Often asked to produce last-minute performance decks
Product Pulse uses AI to extract, clean, and synthesize Jack’s raw metrics into visuals, charts, and plain-English insights. It flags what's working (or not), forecasts upcoming KPIs, and even auto-generates slides for all-hands or investor decks, freeing Jack to focus on building the right thing faster while delighting his CEO.
“Our strategy is always changing and the CEO needs my help knowing where to focus." ~ Jack
PERSONA:
Vince, MD Venture Studio
55 yrs old
How’s my traction?
Oversees multiple early-stage startups
Seeks systematized, scalable tools to track traction across ventures
Needs defensible metrics to secure follow-on capital for studio ventures
AI enables Vince to configure milestone templates, standard KPIs, and growth benchmarks across startups. With centralized insights and auto-generated progress reports, he can assess performance studio-wide and coach founders more strategically with data-driven confidence.
“I need to systematize traction tracking across our portfolio." ~ Vince
Connect the dots
Stitch together data from varied and disconnected sources like Google Analytics, Supabase, and spreadsheets into one clear, unified view.
Track what matters most
Set traction milestones, baseline goals, or investor KPIs. Product Pulse surface progress, trendlines, and forecasted gaps.
Spot early signs of trouble
AI automatically monitors data patterns to flag areas of concern, like unexpected dips in engagement or anomalies in cohort retention, so users can spot problems escalate.
Auto-update investor or stakeholder decks
Generate and update key charts for your pitch deck, directly from live data. Whether it’s weekly active users, conversion funnels, or LTV/CAC ratios, slides stay current, visual, and investor-ready with zero manual effort.
Built for fast-moving startups and product teams.
Research methodology.
Human-centered workflow for systematic research, rooted in design thinking principles.
Identify target market and explore pain-points.
Develop research objectives.
Affinity map data from research into themes.
Craft Jobs-To-Be-Done (JTBD) statements.
Brainstorm features to solve identified problems.
Test concepts and prototypes to validate solution.
Research objectives & guides.
Affinity mapping themes from research.
Jobs-To-Be-Done.
Startup Founders & CEOs (non-technical)
When I check on my product performance daily, I want a centralized location, and a clear, plain-English snapshot so I can know where to focus or if action is needed.
When I need to report progress to investors, I need a clean, presentable summary of product activity so I can confidently share performance and impress them.
Investors & Advisors
When I check in with my portfolio companies, I want to quickly scan performance summaries so I can ask better questions and track real traction.
When I’m talking with a founder, I want to clearly communicate the risks and the rewards so I can know if my investment, and the founder, are tracking with my expectations.
Product Pulse Design Principles.
Relevancy: The right insights, at the right time, for the right audience.
Decision-making: Empower product teams to make faster, smarter decisions; AI recommendations enhances and sharpen human judgement, not replace it.
Transparency: Every insight shows its work so humans can trust and verify.
The AI capabilities beneath the skin to bring the solution to life.
Natural Language Understanding (NLU)
Identify key signals in product data
Understand user behavior patterns
Parse structured and unstructured data from diverse sources like analytics and event logs
Natural Language Generation (NLG)
Translate complex metrics into polished summaries
Generate executive-level insights, headlines, and talking points
Tailor output tone and style to different audiences (founders, product managers, investors)
Large Language Model Reasoning
Infer trends, anomalies, and cause-effect relationships
Create high-level narratives from low-level signals
Prioritize what matters most to an investor or manager
Few-Shot Learning & Custom Prompt Engineering
Adapt templates and tones for different companies
Evolve recommendations and messaging over time
Deliver nuanced insights without needing massive retraining
Data Integration & Semantic Embedding
Match product events to business outcomes
Detect patterns across structured data and unstructured inputs
Support decision-making with contextual intelligence
Go-to-Market Planning.
Launch as free value-add to existing clients
Collect early feedback and testimonials
Competitive analysis, market sizing and research
Train biz dev team
Landing page goes live with white papers and demo video for lead gen
Open to pilot partners via referral
Start monetizing ($49–$99/mo)
Focus on founder- and investor-facing use cases and differentiation strategy (niche, educational, storytelling)
Validate core messaging through continuous user feedback and market testing
Add expanded metrics and features for more mature startups
Expand into team plans and tiered service/pricing offerings
Prep for white-label conversations
Launch custom branded versions for venture studios, product studios, VC networks, and agencies
License API
Expand biz dev playbook to new channels
