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Rich Mironov 23-March-04. Getting Into Customers' Heads. Themes. Most new products and services fail Deeply understanding customers is the first step toward successful products Expect to be surprised Get into customers’ heads early. Agenda. Introductions War story: medication management - PowerPoint PPT Presentation
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Themes
Most new products and services fail
Deeply understanding customers is the first step toward successful products Expect to be surprised
Get into customers’ heads early
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Agenda
Introductions War story: medication management Fitting products to customers or vice versa?
Failure modes Pricing for customer value Take-aways
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Rich Mironov
VP Marketing, AirMagnet Wi-Fi management software 42 employees, 1800
customers, profitable
Silicon Valley veteran (1981) Big companies: HP, Tandem, Sybase Start-ups: Wayfarer, iPass, Slam Dunk, AirMagnet
Product management, mentor consulting Worked with 15 start-ups in 2 years Monthly “Product Bytes” column
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Know What You Know
Things I know Enterprise computing and networking Corporate Internet services Security protocols and products Pricing for enterprise customers
Things I don’t know Consumer electronics and home computing Non-tech markets Fashion-driven buying behavior Large-scale advertising
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War Story: Healthcare
Concept-stage start-up Application to manage inventory and
re-ordering of patient medications
What should application do? Is there a market?
Wide-ranging one-on-one interviews… Long-term nursing facility Leading private-practice spinal surgeon Large acute care hospital
Lots to learn, many surprises
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Extended Interview Format
Get inside their heads 2 hour intensive in-person interviews Open-ended questions, lots of listening Record session if possible
Ask about… How their business works Terminology Natural units of work What keeps them awake at night (pain) Current solutions, alternatives, shortcomings,
competitors Unstated requirements Pricing and ROI dimensions
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Long-Term Care Facility
Stable group of 15-30 residents (patients) Elderly, chronic illnesses, complex mix of medications
Residents each have own doctor Families often pay for meds Several local pharmacies, varied ordering lead times
What keeps them awake at night? One patient runs out of something Lost meds, refused meds, stolen meds Notifying family of status, problems Low-wage workers, high turnover
Dream applications: auto-renew each Rx as needed, auto-notify families of changes in resident status
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Spinal Surgeon
Private practice, 100+ active patients Mostly on-the-job, Workmen’s Comp Chronic back pain notoriously hard to verify
Skilled and stable staff Doctor, 3 nurses, office manager, receptionist
Most meds are controlled substances Therefore, no refills without an office visit
What keeps them awake at night? No-shows, appointment reminders Drug seekers Scheduling office hours, surgery, pro bono
Dream app: auto-confirm appointments
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Large Municipal Hospital
Serves broad community Paying and non-paying patients
Many departments, complex processes Legacy systems
Doctors prescribe, pharmacy dispenses
What keeps them awake at night? HIPAA: Health Insurance Portability
and Accountability Act Avoiding supply “stock-outs” Cost containment Can’t “restock” meds if unused
Dream application: secure, integrated patient information tied to real-time dispensing & costing
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What Did I Learn?
Healthcare is wonderfully complicated Superficially one segment Endless opportunity to be surprised
Four interviews was not enough Postponed design and targeting
solution
More interviews or narrower target?
8 hours well spent
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How Much Interviewing is Enough?
Ready to move ahead when Starting to anticipate answers Spot “natural” market segments Understand customer’s internal
logic Priority of requirements are
obvious
You are now getting “insideyour customers’ head”
?
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“I can’t stop for gas or I’ll be late for the party.”
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Post-Course Corrections
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Take-Aways #1
Get out of your chair and find out what’s real
The world is a surprising, complex place
Climb into some customers’ heads
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Agenda
Introductions War story: medication management Fitting products to customers or vice versa?
Failure modes Pricing for customer value Take-aways
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Which Comes First?
Technical innovators:Find a market
Solution builders:Address a need
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When Products Come First
Typical Silicon Valley start-up: Brilliant technologists Innovative research Patent-pending algorithm 100 architecture slides Customers as after-thought
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With thanks to Ryan English, Ohio State Advanced
Computing Center for the Arts & Design
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Example, Circa 1996
PointCast: advertising-driven “push” Concept play Sponsored “channels” Banned from corporate nets
Wayfarer: internal corporate “push” Real-time alerting Internal database events Emergency browser pop-up
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Who Needed Corporate Push?
Find a market for new technology First step: define its features
Semi-real-time (0.5 to 2 seconds) …from a database … to a browser … for a human … occasionally
Second step: look for a fit Stock ticker? Heart monitor? Inventory update?
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Wait on In-Depth Interviews
Narrow the field quickly: Find diverse subject experts Tell technical story Listen for suspects Rapidly eliminate candidates
Then deep customer analysis
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Spotting Customer Problems First
Who: solution experts, consultants, integrators
Start with a problem Existing area of expertise Assemble simplest solution Incremental improvement, known
technologies
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“Subject Expert” Risks
Often not “product people” Assume all users are like them Broad needs vs. idiosyncrasies? Underestimate effort to completion Narrow exposure to technologies
May miss breakthrough solutions MRI came from physicists, not doctors
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Example: Residential Contractor
Successful builder and renovator of houses
Wrote unique planning software
Is there a market?
Homegrown, undocumented Unsupported freeware database First need to teach customers his approach Not enough time, money to “productize” it Not an ongoing business
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Take-Away #2
When products come first, need broad search for relevant problems
When problems come first, need broad search for solutions
Then climb into customers’ heads
[email protected]©2004
BREAK
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Agenda
Introductions War story: medication management Fitting products to customers or vice versa?
Failure modes Pricing for customer value Take-aways
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Audience Poll
Worst requirements failure?
Best excuse for not doing customer research?
Shortest MRD deadline?
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Early-Stage Failure Modes
1. Build a product with no customer in mind
2. Validation via industry survey/focus group
3. Not a priority for buyer
4. Incomplete solution (ecosystem)
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How to tell: Everyone is in your target audience All segments look alike Sales doesn’t know how to qualify a prospect Objections are unrelated, surprising
1. No Customer in Mind
“Everyone should want one of these” Enterprise and SMB; novices and enthusiasts; teens
and retirees; US and Europe…
Technology-driven Field of dreams (“if we build it…”)
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Example: Wireless Access Points
First impression: wireless gear is all the same
Home wireless market Low price, low price, low price Simple to set up
Enterprise wireless Many security options Remotely configurable, manageable Rugged (long MTBF) Hot-swappable, field upgradeable
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2. Validation via Market Survey
“Gartner forecasts Wi-Fi up 200% this year, and every user will need encryption…”
Everyone receives the same report Trailing-edge data Ignores objections, barriers to entry Ignores existing and new competitors
What is your unique advantage or competence?
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…and Focus Groups
May be helpful, directional Image-conscious products Consumer goods
But First reactions only Capture marketing messages, not behavior A few speakers dominate Easy to hear what you want to hear
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Example: Interactive Television
Several rounds of trials since early 90’s Analyst forecasts, consumer research Major players convinced each other
Microsoft, Time-Warner, Oracle, Sun, Sybase… Read each others’ white papers
$100M’s spent
Cable and Internet are mostly good enough
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3. Not Enough of a Priority
More than just money Customer spends time, attention making a choice Ongoing effort and investment
Is problem important enough to solve? Budget Minimal objections Top 5 or 10 existing issues
Much harder to sell against unfelt need
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Example: Strong Authentication
Extensive academic research into identify verification Often funded by government grants
Simple passwords are easily bypassed Many alternatives
Long passwords Hardware token Biometrics (retina scan, fingerprint) Device restrictions …endless combinations
Usually combined with strong encryption
How well do these sell?
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Simple Passwords Still Dominate
Everything else is too hard Tokens and “dongles” get lost Long passwords forgotten
or written down Retina scans invasive, scary
Risk is mostly theoretical Corporate data leaks out other ways Usually something more important to buy
Different for military contractors
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4. Incomplete Solution (Ecosystem)
Products and services must fit in
Replace one part of broader framework
“Unplug, plug and play”
Easy to forget friction, barriers to substitution
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Every Product Architecture Chart…
Your NewProduct
Customer data
Legacy box
Partner app
Other stuff
Existingwidget
Existinggadget
Third party thingie
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…Like This One
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…Yet Customers Want This
Your NewProduct
Existingsystem core
Customer data
Legacy box
Partner app
Other stuff
Existingwidget
Existinggadget
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Example: All-Electric Cars
Many technical challenges Bigger infrastructure challenges
Where do I recharge it? Safe sharing road with fast gasoline-powered cars?
Working within the infrastructure Hybrid gas/electric cards
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Take-Aways #3
Pick a target customer group
Identify specific needs
Understand broader solution environment
Trust your own information first
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Agenda
Introductions War story: medication management Fitting products to customers or vice versa?
Failure modes Pricing for customer value Take-aways
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Customer-Friendly Pricing Units
Buying is a process1. Want the product2. Grasp the pricing model3. Haggle about the price
Easiest with “natural” pricing units How does customer size the problem?
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What is the Key Metric?
Hospitals are sized in “beds” Airlines in “passenger-miles” Pharmacies in “prescriptions” Hotels in “room nights” HR departments in “employees” Assembly plants in “trucks per day” Chip fabrication in “yield” and “wafer size” Sales force automation software in “seats”
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Car-Buying Units
Purchase (car) Bank loan (payment) Lease (month, mile) Rent (day) Taxi (1/5th mile) Share (trip) Borrow (hour) Steal (previous convictions)
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Long Distance Calling
Used to be in “minutes” and “state/country”
Now lots of possible plans Per minute Per month (MCI Neighborhood) Per call plus per minute (10-10-987) Per month plus per minute (AT&T One Rate) Local plus long distance Same provider (Friends & Family) …
Rearranges target audiences, competition
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Customer Commitments
No commitmentHigh variable costs
Lower volumeUncertain usageOptionalActively manage costs
MUST KEEP MARKETING
Big commitmentLow/no variable costs
Higher volumePredictable usage
Required (cost of business)Low cost control effort
HARD INITIAL SELL
“by
the d
rink”
“by
the
month
”
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Exercise: Consulting Services
Your last start-up just closed, so you are suddenly a consultant. A prospective client needs market analysis, MRD, pricing model.
What are your pricing objectives?
How to structure a project?
Risks for you? For client?
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Possible Objectives
Work at any price Food on the table
Loss leader Underprice first assignment, get follow-on work Good reference for other clients
Become indispensable Push for a full-time position later
Gain market experience What will the market bear? OK to lose assignment
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Possible Models for Consulting Project
Per hour, no limits Per project Fixed price for initial sizing
(“pay me to estimate”) Per hour with project ceiling Milestones (progress payments) Sweat equity (pre-IPO stock) Customer sets value at end Shared savings (portion of ROI) Free (experience, reference, try&buy) Barter
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Risks in Consulting Models
Client’s Risk Consultant’s Risk
Straight HourlyUnlimited cost,
quality, completionNone
Fixed project price (pay on completion)
Timely completionUnlimited effort, defining “done”
Fixed price milestones
Partial work not valuable, inspecting
Upfront analysis
Equity, portion of ROI
May overpay laterNo immediate cash
value
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Coming Back to Units
Customers justify purchases in their terms Can you follow their lead?
Recruiter: per hire Airline reservation system: per transaction Shop floor software: portion of savings Direct mail agency: response rate Shipper: on-time delivery results Academic tutor: SAT score
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Goldilocks Principle
Customers want a choice More than 3 is too complicated Lowest cost should feel “cheap”
Reason to upsell later
3 fully configured options: one will be “just right”
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Take-Aways #4
Think about how customers justify purchases
Use units that matter to them
Give them a few choices
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Wrap-Up
Requirements are more than a list of things
Context and fit are critical
Talking at length to real customers is essential
Get into your customers’ heads