Givvo
Overview
Givvo was created to help others find the language and ease to give gifts to people that matter to them. A digital product that eases the mental burden of selecting a gift and reduces the awkwardness of asking for one.
Focusing on men who tend to struggle with finding meaningful gifts that mean something to those who matter – or not.
Categories
Product Ownership
Product Design
Service Design
Date
12 May, 2026
Jump to:
(Content under Construction, Check back for updates!)
A personalised gift discovery product built from scratch:
Defining the problem, designing the experience, and architecting the system.
6
quiz questions to a curated result
8–12
gifts per discovery session
6+
core product flows
Full
social gifting network layer
Givvo MVP Demo
Read details below
Overview
The problem with gift-giving isn't choosing.
It's starting.
| "I think every gift discovery (product) asks you what you want. But I don't even know where to start so I always try to begin with what I notice or remember about them."
12+
men interviewed
2
Co-creation sessions
Wishlists solve a distribution problem.
They don't solve the problem of knowing someone well enough to surprise them.
Givvo was built on a different premise: The giver already has the information they need, they just do not know how to apply it. And they need to feel like the hero when they hand it over, not like they used an app. The service also eases the awkwardness of asking for a gift by making it unnecessary to ask at all.
What do men currently do:
•
Google "gifts for him" and scroll Amazon for hours
•
Ask the recipient directly and then they lose the surprise
•
Buy something safe and feel vaguely guilty about it
•
Leave it until the day before and panic-buy
•
Overspend to compensate for not knowing what to get
What Givvo does instead:
•
Asks what you've observed and not what they want
•
Surfaces curated gifts with a personalised case for each one
•
Gives you confidence when they hand the gift over
•
Reminds you before occasions sneak up on you
•
Builds a social layer so connections can find each other easier to shop for
User Archetypes
Two users. One problem.
Different stakes.
Research identified two giver archetypes. Both fail at the discovery step for opposite reasons. The product had to serve both without alienating either, this shaped every prioritisation decision from quiz length to card copy length.
ARCHETYPE 01 – The Overthinker
Marcus, 26
Low–Mid income (£2,700/pm) · Gifts for: girlfriend, 3-year relationship
"I know her better than anyone in her life.
I just never know what to get her."
The paradox: 95% emotional investment, 80% knowledge of the recipient, 12% confidence. Caring more makes him more paralysed instead of less.
CORE NEED
Translate knowledge into something specific with a clear reason.
CORE FEAR
The gift says he doesn't know her as well as he thought.
CORE DESIRE
To hand it over and know, without doubt, he got it exactly right.
ARCHETYPE 02 – Thoughtful but uninvested
Daniel, 33
Mid income (£5,000/pm) · Gifts for: wife, children, best friend
"I don't need it to be perfect.
I just need it to not be embarrassing."
Has no patience for a 20-question quiz.
Defaults to Amazon because it's fast, not because it's right.
Needs a recommendation he can trust without needing to verify it.
CORE NEED
Fast, trustworthy route
to something genuinely good.
CORE FEAR
The gift feels like he didn't try, even though he did.
CORE DESIRE
Efficiency with dignity. Look like he thought
about it.
The underlying problem
Gift-giving is a 눈치 (nunchi) problem
눈치 is a Korean concept: It is the ability to read unspoken social cues, emotional atmosphere, and what someone needs without them having to say it.
Uncovered during one interview and translated into our personas.
An example is Marcus, he has high 눈치. He notices everything about his girlfriend. He has all the signal he needs. But existing services strip all of that away by asking for search terms and categories, which is exactly the wrong input format for what he actually knows.
The biggest pattern was that many men tend to struggle with this particular point of contention in the communication process of gift giving, where current methods of "gift searching" are unable to help them translate what they know – into a gift.
Givvo was designed to honour that intelligence – to meet the giver at the level they actually operate at,
instead of the level that a search engine requires.
Which determined that there are 3 gaps nobody really designs gift-services for
01 The translation gap
No service converts relational knowledge into a gift brief. Every existing service starts with a category or occasion. "She likes ceramics" doesn't fit a search bar. "He's into craft beer" doesn't help when you're facing 40,000 results.
Givvo aims to start with the person, with what the giver already knows, and then does the translation work.
02 The shortlist gap
The market currently offers either one answer which tend to be prescriptive, or, thousands, which is overwhelming.
Nobody offers a curated shortlist of 3–5 options with clear reasons attached. Having intentional recommendations with rationale resolves anxiety without reintroducing it. A considered shortlist is a different cognitive experience from a catalogue.
03 The language gap
No service gives the giver language to use when handing the gift over.
Givvo's recommendation comes with a reason, so the moment of giving makes the recipient feel like the gift was thought out, researched, and intentional. The handover is the most important moment in the entire service, and it has never been designed for.
Market positioning
The unoccupied quadrant
Mapping the competitive landscape on two axes;
1. Discovery method (personal guidance vs catalogue browsing)
2. Primary input (relationship focus vs occasion focus)
Revealed that Givvo's intended position is currently unoccupied.
Every competitor anchors to either a category or an occasion. None starts with the relationship.
Search engines are free and fast but overwhelm.
Concierge services offer precision but don't scale.
Givvo bridges this gap: concierge-level precision with the speed and accessibility of a digital product. The market space is unoccupied, and Givvo is a product that was designed to try and lead it.
Product decisions
The choices that define the product
Every product is the sum of its trade-offs. These are the four decisions that helped shaped Givvo
DECISION 01
Replace the wishlist with observations
Wishlists put the burden on the recipient and kill the surprise. The better input is what the giver has already noticed (ie. habits, frictions, interests, offhand comments).
Seven targeted questions extract that knowledge without the giver realising how much they already know.
Insight: the giver has more signal than they think
DECISION 02
Swipe to curate, not scroll to shop
A grid of results triggers a shopping mindset: compare, evaluate, hesitate. A swipe mechanic, borrowed from Hinge's curation model – triggers a decision mindset.
Each card makes a case. You judge it, commit, move on. Shortlisting feels like curating, not buying. The psychological difference is significant.
Reference: Hinge mechanic + Stitch Fix rationale model
DECISION 03
AI to sell each gift and not just to surface it
Product descriptions describe. The Givvo card makes a case.
It tells the user why this gift works, and why it's specifically right for this person
based on what the user told us. Plus a line to say when handing it over, which eases the moment of giving, not just the moment of buying.
Inspired by Netflix's research on personalised framing lifting click-through on identical content.
Insight: the giver has more signal than they think
DECISION 04
Build a social identity layer as part of the core
Gifting is inherently social. A solo discovery tool has a ceiling on retention.
Thus "GivvoTag" – a unique @handle for every user, allows people find each other, share wishlists, and build a shared gifting network.
The more users on the platform, the more useful each individual's tag is.
Uses decentralised peer-to-peer mesh network powered by direct, reciprocal network effects (Metcalfe’s Law + Marketplace Dynamics).
Pattern: P2P identity layers (eg. RevTag, CashTag, Venmo handles, etc)
AskGivvo, the companion pathway
Some people don't want six questions.
Sometimes, it's easier to describe.
The quiz assumes a user can map their knowledge into discrete answers, and unfortunately, not everyone can.
AskGivvo aims to be the conversational alternative, it is the same recommendation engine, accessed through natural language. Now, user do not require structured input, just description. A conversation designed to communicate like the way people actually think.
Let's look at Marcus on the right:
He knows his girlfriend collects ceramics, watches cooking videos, and hates gestures without thought. He has everything Givvo needs. But the quiz asks him to categorise that knowledge, and categorisation loses the nuance. The chatbot lets him describe what he notices and let the AI do the translation for him.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
The core mechanic
Gift discovery should feel like a confident decision
The moment between seeing a gift and committing to it is where most people hesitate. The card is designed to close that gap.
[Try it out below]
The kind of thing people never replace their own because it feels indulgent — which makes it ideal as a gift.
For someone who travels light and hates anything bulky in their pockets.
Click/Swipe me!
Personalised rationale:
The copy references what the user told Givvo, and not just tells what the product does. Users get the same cards with personalised framing.
"Say this when you hand it over"
Aims to help with handover anxiety. Benchmarking revealed that no other gifting product addresses the moment of giving, only the moment of buying.
Decision mindset, not shopping mindset:
Swipe right to shortlist, left to pass.
Familiar, deliberate and committed, aims to prevent choice paralysis.
Soft tension signal:
Practical lead time notes create low-pressure urgency without manufactured scarcity via providing sourced, useful and practical information instead of relying on "dark-marketing" patterns.
Session anchor:
"Finding gifts for [Giftee's NAME]" stays visible throughout.
Every swipe decision stays tethered to the right person.
The social layer
If I could boil gift giving into a tagline, it would be:
"Gifting is social.
The product needs to be too."
Why? Because a discovery tool with one user is useful, a gifting network with many users compounds in value.
Thus the social layer was designed from the start instead of it being retrofitted later.
GivvoTag
A unique @handle for every user. Searchable, shareable, usable at sign-in.
The identity primitive that makes the whole social layer work without friction.
Givvo Circle
Mutual connections with relationship labels; partner, close friend, colleague.
Labels feed silently into gift recommendations without being visible to the shopper.
Personal Wishlists
Every user builds their own wishlist, visible only to confirmed connections.
Items are claimed anonymously, so that two people don't buy the same thing and the surprise holds.
Invite link
Every user gets a shareable link. Non-users land on a page showing the wishlist waiting for them; pull into sign-up, not push.
Conversion is built into the social mechanic.
Calendar Sync
Scans Google Calendar and iCal for birthday events and surfaces them as suggested recipient profiles.
Exports occasions as .ics with VALARM reminders.
Hint flow
In the post-shortlist phase, an option to send a calibrated nudge to the recipient is presented.
3 communication styles from: "just a feeling" to "show them and lastly, the option to "keep it to yourself" and let the gift be a secret.
Success Metrics
What would success look like for Givvo
[CONTENT UNDER CONSTRUCTION, COME BACK SOON]
Givvo
Overview
Givvo was created to help others find the language and ease to give gifts to people that matter to them. A digital product that eases the mental burden of selecting a gift and reduces the awkwardness of asking for one.
Focusing on men who tend to struggle with finding meaningful gifts that mean something to those who matter – or not.
Categories
Product Ownership
Product Design
Service Design
Date
12 May, 2026
Jump to:
(Content under Construction, Check back for updates!)
A personalised gift discovery product built from scratch:
Defining the problem, designing the experience, and architecting the system.
6
quiz questions to a curated result
8–12
gifts per discovery session
6+
core product flows
Full
social gifting network layer
Givvo MVP Demo
Read details below
Overview
The problem with gift-giving isn't choosing.
It's starting.
| "I think every gift discovery (product) asks you what you want. But I don't even know where to start so I always try to begin with what I notice or remember about them."
12+
men interviewed
2
Co-creation sessions
Wishlists solve a distribution problem.
They don't solve the problem of knowing someone well enough to surprise them.
Givvo was built on a different premise: The giver already has the information they need, they just do not know how to apply it. And they need to feel like the hero when they hand it over, not like they used an app. The service also eases the awkwardness of asking for a gift by making it unnecessary to ask at all.
What do men currently do:
•
Google "gifts for him" and scroll Amazon for hours
•
Ask the recipient directly and then they lose the surprise
•
Buy something safe and feel vaguely guilty about it
•
Leave it until the day before and panic-buy
•
Overspend to compensate for not knowing what to get
What Givvo does instead:
•
Asks what you've observed and not what they want
•
Surfaces curated gifts with a personalised case for each one
•
Gives you confidence when they hand the gift over
•
Reminds you before occasions sneak up on you
•
Builds a social layer so connections can find each other easier to shop for
User Archetypes
Two users. One problem.
Different stakes.
Research identified two giver archetypes. Both fail at the discovery step for opposite reasons. The product had to serve both without alienating either, this shaped every prioritisation decision from quiz length to card copy length.
ARCHETYPE 01 – The Overthinker
Marcus, 26
Low–Mid income (£2,700/pm) · Gifts for: girlfriend, 3-year relationship
"I know her better than anyone in her life.
I just never know what to get her."
The paradox: 95% emotional investment, 80% knowledge of the recipient, 12% confidence. Caring more makes him more paralysed instead of less.
CORE NEED
Translate knowledge into something specific with a clear reason.
CORE FEAR
The gift says he doesn't know her as well as he thought.
CORE DESIRE
To hand it over and know, without doubt, he got it exactly right.
ARCHETYPE 02 – Thoughtful but uninvested
Daniel, 33
Mid income (£5,000/pm) · Gifts for: wife, children, best friend
"I don't need it to be perfect.
I just need it to not be embarrassing."
Has no patience for a 20-question quiz.
Defaults to Amazon because it's fast, not because it's right.
Needs a recommendation he can trust without needing to verify it.
CORE NEED
Fast, trustworthy route
to something genuinely good.
CORE FEAR
The gift feels like he didn't try, even though he did.
CORE DESIRE
Efficiency with dignity. Look like he thought
about it.
The underlying problem
Gift-giving is a 눈치 (nunchi) problem
눈치 is a Korean concept: It is the ability to read unspoken social cues, emotional atmosphere, and what someone needs without them having to say it.
Uncovered during one interview and translated into our personas.
An example is Marcus, he has high 눈치. He notices everything about his girlfriend. He has all the signal he needs. But existing services strip all of that away by asking for search terms and categories, which is exactly the wrong input format for what he actually knows.
The biggest pattern was that many men tend to struggle with this particular point of contention in the communication process of gift giving, where current methods of "gift searching" are unable to help them translate what they know – into a gift.
Givvo was designed to honour that intelligence – to meet the giver at the level they actually operate at,
instead of the level that a search engine requires.
Which determined that there are 3 gaps nobody really designs gift-services for
01 The translation gap
No service converts relational knowledge into a gift brief. Every existing service starts with a category or occasion. "She likes ceramics" doesn't fit a search bar. "He's into craft beer" doesn't help when you're facing 40,000 results.
Givvo aims to start with the person, with what the giver already knows, and then does the translation work.
02 The shortlist gap
The market currently offers either one answer which tend to be prescriptive, or, thousands, which is overwhelming.
Nobody offers a curated shortlist of 3–5 options with clear reasons attached. Having intentional recommendations with rationale resolves anxiety without reintroducing it. A considered shortlist is a different cognitive experience from a catalogue.
03 The language gap
No service gives the giver language to use when handing the gift over.
Givvo's recommendation comes with a reason, so the moment of giving makes the recipient feel like the gift was thought out, researched, and intentional. The handover is the most important moment in the entire service, and it has never been designed for.
Market positioning
The unoccupied quadrant
Mapping the competitive landscape on two axes;
1. Discovery method (personal guidance vs catalogue browsing)
2. Primary input (relationship focus vs occasion focus)
Revealed that Givvo's intended position is currently unoccupied.
Every competitor anchors to either a category or an occasion. None starts with the relationship.
Search engines are free and fast but overwhelm.
Concierge services offer precision but don't scale.
Givvo bridges this gap: concierge-level precision with the speed and accessibility of a digital product.
The market space is unoccupied, and Givvo is a product that was designed to try and lead it.
Product decisions
The choices that define the product
Every product is the sum of its trade-offs. These are the four decisions that helped shaped Givvo
DECISION 01
Replace the wishlist with observations
Wishlists put the burden on the recipient and kill the surprise. The better input is what the giver has already noticed (ie. habits, frictions, interests, offhand comments).
Seven targeted questions extract that knowledge without the giver realising how much they already know.
Insight: the giver has more signal than they think
DECISION 02
Swipe to curate, not scroll to shop
A grid of results triggers a shopping mindset: compare, evaluate, hesitate. A swipe mechanic, borrowed from Hinge's curation model – triggers a decision mindset.
Each card makes a case. You judge it, commit, move on. Shortlisting feels like curating, not buying. The psychological difference is significant.
Reference: Hinge mechanic + Stitch Fix rationale model
DECISION 03
AI to sell each gift and not just to surface it
Product descriptions describe. The Givvo card makes a case.
It tells the user why this gift works, and why it's specifically right for this person
based on what the user told us. Plus a line to say when handing it over, which eases the moment of giving, not just the moment of buying.
Inspired by Netflix's research on personalised framing lifting click-through on identical content.
Insight: the giver has more signal than they think
DECISION 04
Build a social identity layer as part of the core
Gifting is inherently social. A solo discovery tool has a ceiling on retention.
Thus "GivvoTag" – a unique @handle for every user, allows people find each other, share wishlists, and build a shared gifting network.
The more users on the platform, the more useful each individual's tag is.
Uses decentralised peer-to-peer mesh network powered by direct, reciprocal network effects (Metcalfe’s Law + Marketplace Dynamics).
Pattern: P2P identity layers (eg. RevTag, CashTag, Venmo handles, etc)
AskGivvo, the companion pathway
Some people don't want six questions.
Sometimes, it's easier to describe.
The quiz assumes a user can map their knowledge into discrete answers, and unfortunately, not everyone can.
AskGivvo aims to be the conversational alternative, it is the same recommendation engine, accessed through natural language. Now, user do not require structured input, just description. A conversation designed to communicate like the way people actually think.
Let's look at Marcus below:
He knows his girlfriend collects ceramics, watches cooking videos, and hates gestures without thought. He has everything Givvo needs. But the quiz asks him to categorise that knowledge, and categorisation loses the nuance. The chatbot lets him describe what he notices and let the AI do the translation for him.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
The core mechanic
Gift discovery should feel like a confident decision
The moment between seeing a gift and committing to it is where most people hesitate. The card is designed to close that gap.
[Try it out below]
The kind of thing people never replace their own because it feels indulgent — which makes it ideal as a gift.
For someone who travels light and hates anything bulky in their pockets.
Click/Swipe me!
Personalised rationale:
The copy references what the user told Givvo, and not just tells what the product does. Users get the same cards with personalised framing.
"Say this when you hand it over"
Aims to help with handover anxiety. Benchmarking revealed that no other gifting product addresses the moment of giving, only the moment of buying.
Decision mindset, not shopping mindset:
Swipe right to shortlist, left to pass.
Familiar, deliberate and committed, aims to prevent choice paralysis.
Soft tension signal:
Practical lead time notes create low-pressure urgency without manufactured scarcity via providing sourced, useful and practical information instead of relying on "dark-marketing" patterns.
Session anchor:
"Finding gifts for [Giftee's NAME]" stays visible throughout.
Every swipe decision stays tethered to the right person.
The social layer
If I could boil gift giving into a tagline, it would be:
"Gifting is social.
The product needs to be too."
Why? Because a discovery tool with one user is useful, a gifting network with many users compounds in value.
Thus the social layer was designed from the start instead of it being retrofitted later.
GivvoTag
A unique @handle for every user. Searchable, shareable, usable at sign-in.
The identity primitive that makes the whole social layer work without friction.
Givvo Circle
Mutual connections with relationship labels; partner, close friend, colleague.
Labels feed silently into gift recommendations without being visible to the shopper.
Personal Wishlists
Every user builds their own wishlist, visible only to confirmed connections.
Items are claimed anonymously, so that two people don't buy the same thing and the surprise holds.
Invite link
Every user gets a shareable link. Non-users land on a page showing the wishlist waiting for them; pull into sign-up, not push.
Conversion is built into the social mechanic.
Calendar Sync
Scans Google Calendar and iCal for birthday events and surfaces them as suggested recipient profiles.
Exports occasions as .ics with VALARM reminders.
Hint flow
In the post-shortlist phase, an option to send a calibrated nudge to the recipient is presented.
3 communication styles from: "just a feeling" to "show them and lastly, the option to "keep it to yourself" and let the gift be a secret.
Success Metrics
What would success look like for Givvo
[CONTENT UNDER CONSTRUCTION, COME BACK SOON]
Givvo
Overview
Givvo was created to help others find the language and ease to give gifts to people that matter to them. A digital product that eases the mental burden of selecting a gift and reduces the awkwardness of asking for one.
Focusing on men who tend to struggle with finding meaningful gifts that mean something to those who matter – or not.
Categories
Product Ownership
Product Design
Service Design
Date
12 May, 2026
Jump to:
(Content under Construction, Check back for updates!)
A personalised gift discovery product built from scratch:
Defining the problem, designing the experience, and architecting the system.
6
quiz questions to a curated result
8–12
gifts per discovery session
6+
core product flows
Full
social gifting network layer
Givvo MVP Demo
Read details below
Overview
The problem with gift-giving isn't choosing.
It's starting.
| "I think every gift discovery (product) asks you what you want. But I don't even know where to start so I always try to begin with what I notice or remember about them."
12+
men interviewed
2
Co-creation sessions
Wishlists solve a distribution problem. They don't solve the problem of knowing someone well enough to surprise them.
Givvo was built on a different premise: the giver already has the information they need, they just need a structure to act on it.
What do men currently do:
•
Google "gifts for him" and scroll Amazon for hours
•
Ask the recipient directly and then they lose the surprise
•
Buy something safe and feel vaguely guilty about it
•
Leave it until the day before and panic-buy
•
Overspend to compensate for not knowing what to get
What Givvo does instead:
•
Asks what you've observed and not what they want
•
Surfaces curated gifts with a personalised case for each one
•
Gives you confidence when they hand the gift over
•
Reminds you before occasions sneak up on you
•
Builds a social layer so connections can find each other easier to shop for
User Archetypes
Two users. One problem.
Different stakes.
Research identified two giver archetypes. Both fail at the discovery step for opposite reasons. The product had to serve both without alienating either, this shaped every prioritisation decision from quiz length to card copy length.
ARCHETYPE 01 – The Overthinker
Marcus, 26
Low–Mid income (£2,700/pm) · Gifts for: girlfriend, 3-year relationship
"I know her better than anyone in her life.
I just never know what to get her."
The paradox: 95% emotional investment, 80% knowledge of the recipient, 12% confidence. Caring more makes him more paralysed instead of less.
CORE NEED
Translate knowledge into something specific with a clear reason.
CORE FEAR
The gift says he doesn't know her as well as he thought.
CORE DESIRE
To hand it over and know, without doubt, he got it exactly right.
ARCHETYPE 02 – Thoughtful but uninvested
Daniel, 33
Mid income (£5,000/pm) · Gifts for: wife, children, best friend
"I don't need it to be perfect.
I just need it to not be embarrassing."
Has no patience for a 20-question quiz.
Defaults to Amazon because it's fast, not because it's right.
Needs a recommendation he can trust without needing to verify it.
CORE NEED
Fast, trustworthy route
to something genuinely good.
CORE FEAR
The gift feels like he didn't try, even though he did.
CORE DESIRE
Efficiency with dignity. Look like he thought
about it.
The underlying problem
Gift-giving is a 눈치 (nunchi) problem
눈치 is a Korean concept: It is the ability to read unspoken social cues, emotional atmosphere, and what someone needs without them having to say it.
Uncovered during one interview and translated into our personas.
An example is Marcus, he has high 눈치. He notices everything about his girlfriend. He has all the signal he needs. But existing services strip all of that away by asking for search terms and categories, which is exactly the wrong input format for what he actually knows.
The biggest pattern was that many men tend to struggle with this particular point of contention in the communication process of gift giving, where current methods of "gift searching" are unable to help them translate what they know – into a gift.
Givvo was designed to honour that intelligence – to meet the giver at the level they actually operate at,
instead of the level that a search engine requires.
Which determined that there are 3 gaps nobody really designs gift-services for
01 The translation gap
No service converts relational knowledge into a gift brief. Every existing service starts with a category or occasion. "She likes ceramics" doesn't fit a search bar. "He's into craft beer" doesn't help when you're facing 40,000 results.
Givvo aims to start with the person, with what the giver already knows, and then does the translation work.
02 The shortlist gap
The market currently offers either one answer which tend to be prescriptive, or, thousands, which is overwhelming.
Nobody offers a curated shortlist of 3–5 options with clear reasons attached. Having intentional recommendations with rationale resolves anxiety without reintroducing it. A considered shortlist is a different cognitive experience from a catalogue.
03 The language gap
No service gives the giver language to use when handing the gift over.
Givvo's recommendation comes with a reason, so the moment of giving makes the recipient feel like the gift was thought out, researched, and intentional. The handover is the most important moment in the entire service, and it has never been designed for.
Market positioning
The unoccupied quadrant
Mapping the competitive landscape on two axes;
1. Discovery method (personal guidance vs catalogue browsing)
2. Primary input (relationship focus vs occasion focus)
Revealed that Givvo's intended position is currently unoccupied. Every competitor anchors to either a category or an occasion. None starts with the relationship.
Search engines are free and fast but overwhelm.
Concierge services offer precision but don't scale.
Givvo bridges this gap: concierge-level precision with the speed and accessibility of a digital product. The market space is unoccupied, and Givvo is a product that was designed to try and lead it.
Product decisions
The choices that define the product
Every product is the sum of its trade-offs. These are the four decisions that helped shaped Givvo
DECISION 01
Replace the wishlist with observations
Wishlists put the burden on the recipient and kill the surprise. The better input is what the giver has already noticed (ie. habits, frictions, interests, offhand comments).
Seven targeted questions extract that knowledge without the giver realising how much they already know.
Insight: the giver has more signal than they think
DECISION 02
Swipe to curate, not scroll to shop
A grid of results triggers a shopping mindset: compare, evaluate, hesitate. A swipe mechanic, borrowed from Hinge's curation model – triggers a decision mindset.
Each card makes a case. You judge it, commit, move on. Shortlisting feels like curating, not buying. The psychological difference is significant.
Ref: Hinge mechanic + Stitch Fix rationale model
DECISION 03
AI to sell each gift and not just to surface it
Product descriptions describe. The Givvo card makes a case.
It tells the user why this gift works, and why it's specifically right for this person
based on what the user told us. Plus a line to say when handing it over, which eases the moment of giving, not just the moment of buying.
Inspired by Netflix's research on personalised framing lifting click-through on identical content.
Insight: the giver has more signal than they think
DECISION 04
Build a social identity layer as part of the core
Gifting is inherently social. A solo discovery tool has a ceiling on retention.
Thus "GivvoTag" – a unique @handle for every user, allows people find each other, share wishlists, and build a shared gifting network.
The more users on the platform, the more useful each individual's tag is.
Uses decentralised peer-to-peer mesh network powered by direct, reciprocal network effects (Metcalfe’s Law + Marketplace Dynamics).
Pattern: P2P identity layers (eg. RevTag, CashTag)
AskGivvo, the companion pathway
Some people don't want six questions.
Sometimes, it's easier to describe.
The quiz assumes a user can map their knowledge into discrete answers, and unfortunately, not everyone can.
AskGivvo aims to be the conversational alternative, it is the same recommendation engine, accessed through natural language. Now, user do not require structured input, just description. A conversation designed to communicate like the way people actually think.
Let's look at Marcus below:
He knows his girlfriend collects ceramics, watches cooking videos, and hates gestures without thought. He has everything Givvo needs. But the quiz asks him to categorise that knowledge, and categorisation loses the nuance. The chatbot lets him describe what he notices and let the AI do the translation for him.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Different users, different pathways
Marcus {Chatbot}
High knowledge, high emotional investment.
Wants to articulate what he knows naturally and doesn't want to fit nuanced observations into checkbox options. Typing allows him feels to feel greater ownership and investment
Daniel {Quiz}
Low time, low patience for a 20-question quiz. Six structured questions, fast confident output. Doesn't want to write a paragraph, he just wants to answer and be done.
Two interfaces. One recommendation engine.
The AI interprets both inputs into the same output:
a curated shortlist with a personalised rationale for each gift.
The only thing that changes is the format of the conversation the user has to have with the Givvo before the outcome.
The core mechanic
Gift discovery should feel like a confident decision
The moment between seeing a gift and committing to it is where most people hesitate. The card is designed to close that gap.
[Try it out below]
The kind of thing people never replace their own because it feels indulgent — which makes it ideal as a gift.
For someone who travels light and hates anything bulky in their pockets.
Click/Swipe me!
Personalised rationale:
The copy references what the user told Givvo, and not just tells what the product does. Users get the same cards with personalised framing.
"Say this when you hand it over"
Aims to help with handover anxiety. Benchmarking revealed that no other gifting product addresses the moment of giving, only the moment of buying.
Decision mindset, not shopping mindset:
Swipe right to shortlist, left to pass.
Familiar, deliberate and committed, aims to prevent choice paralysis.
Soft tension signal:
Practical lead time notes create low-pressure urgency without manufactured scarcity via providing sourced, useful and practical information instead of relying on "dark-marketing" patterns.
Session anchor:
"Finding gifts for [Giftee's NAME]" stays visible throughout. Every swipe decision stays tethered to the right person.
The social layer
If I could boil gift giving into a tagline, it would be:
"Gifting is social.
The product needs to be too."
Why? Because a discovery tool with one user is useful, a gifting network with many users compounds in value.
Thus the social layer was designed from the start instead of it being retrofitted later.
GivvoTag
A unique @handle for every user. Searchable, shareable, usable at sign-in.
The identity primitive that makes the whole social layer work without friction.
Givvo Circle
Mutual connections with relationship labels; partner, close friend, colleague.
Labels feed silently into gift recommendations without being visible to the shopper.
Personal Wishlists
Every user builds their own wishlist, visible only to confirmed connections.
Items are claimed anonymously, so that two people don't buy the same thing and the surprise holds.
Invite link
Every user gets a shareable link. Non-users land on a page showing the wishlist waiting for them; pull into sign-up, not push.
Conversion is built into the social mechanic.
Calendar Sync
Scans Google Calendar and iCal for birthday events and surfaces them as suggested recipient profiles.
Exports occasions as .ics with VALARM reminders.
Hint flow
In the post-shortlist phase, an option to send a calibrated nudge to the recipient is presented.
3 communication styles from: "just a feeling" to "show them and lastly, the option to "keep it to yourself" and let the gift be a secret.
Success Metrics
What would success look like for Givvo
[CONTENT UNDER CONSTRUCTION, COME BACK SOON]