Connection in depth.

John Bowlby argued, in the Attachment and Loss trilogy (1969-1980), that infants form internal working models of their bond with the primary caregiver, templates that persist into adulthood and shape how we love. Mary Ainsworth, through the Strange Situation procedure (1978), empirically identified three childhood patterns: secure, anxious-resistant, and avoidant; Main & Solomon (1986) later added the disorganised pattern. Hazan & Shaver (1987) transposed the framework to romantic bonds, showing that adults report affective dynamics parallel to those observed in infancy. Bartholomew & Horowitz (1991) consolidated the adult model into four styles, crossing two dimensions: model of self (positive/negative) and model of others (positive/negative).

The reading returns your predominant attachment style (secure, anxious-preoccupied, dismissive-avoidant, or disorganised-fearful), derived from your answers, alongside the numerical scores on the two core Bartholomew & Horowitz dimensions: model of self (positive/negative) and model of others (positive/negative). From there you receive a map of behaviours typical of your style: how you seek closeness, how you respond to separation, how you navigate conflict. You also see your automatic patterns under relational stress (anxious profiles tend to hyper-activate, avoidant profiles tend to deactivate) and the trauma triggers most likely to fire for your profile, the situations that wake the oldest defences. The reading closes with an earned secure pathway: concrete practices that, over time, shift insecure styles toward greater security (the literature reports around 25% change over four years) and the positive signs to watch for when your style is rebalancing.

Empirical support is strong in infancy: the Strange Situation has over forty years of cross-cultural replication. In adults, the evidence is good but warrants nuance: styles are not fixed and can shift through therapy and corrective relationships (around 25% change over four years, Davila & Cobb, 2003). Self-report instruments (ECR, ECR-R) depend on the respondent's level of self-awareness. The model is descriptive and makes no deterministic claim: being "anxious" signals where conscious effort and care are best invested, condemning no one to relational unhappiness.

The model originates in The Five Love Languages (Gary Chapman, 1992), a pastor and marriage counsellor. After decades of counselling couples, Chapman observed that many conflicts stemmed from expressing love in a modality the partner did not recognise, even when love was present. He proposed five distinct languages for giving and receiving affection; each person typically has one or two dominant ones. Crucial point: the language we give can differ from the one we need to receive, and that asymmetry is where the misunderstanding lives. The framework sits alongside work on relational maintenance behaviours (Stafford & Canary, 1991), which catalogue everyday caring behaviours in close dyads.

You get the percentage distribution of your way of receiving love across the five languages (Words of Affirmation, Quality Time, Receiving Gifts, Acts of Service and Physical Touch) and, in parallel, an independent distribution of your way of giving, which often diverges from how you receive. The app highlights the gaps between giving and receiving: the precise place where relational misunderstanding most often appears. We identify your dominant and secondary languages with applied reading (what hurts you, what fills you, what passes you by) and give concrete examples of partner gestures that count as each language in action. When specific combinations show up (e.g. high Touch + high Time), we explain what that usually signals about your closeness needs. We close with communication suggestions to make your languages explicit: a script for the first conversation about it with your partner.

Despite enormous popularity, empirical validity is weak. A psychometric study by Bunt & Hazelwood (2017) showed that (1) the five languages may not be factorially distinct and (2) language matching does not strongly predict relational satisfaction once communication quality and attachment style are controlled for. The model’s real value is providing an accessible vocabulary to talk about affective needs; the risk is treating it as a fixed label, when it works best as a conversation prompt.

The Connection Blueprint is an Agapone proprietary framework that maps the internal schema of what you need in order to feel genuinely bonded to someone. It draws on three traditions: (1) attachment theory, where safety is the foundation on which everything else is built; (2) Sue Johnson's Emotionally Focused Therapy, with the A.R.E. model (accessibility, responsiveness, engagement) as a continuous test of the bond; and (3) Esther Perel's Mating in Captivity (2006), which articulates the productive tension between safety and novelty as the engine of desire. The Blueprint returns six continuous dimensions, where each person is a unique combination.

You receive your score across the six Agapone connection dimensions (Safety, Novelty, Pace, Space, Intensity and Ritual) displayed on a hexagon (or radar chart) that makes your needs "signature" visible at a glance. The reading highlights your two most critical dimensions, the non-negotiables: if a partner ignores them, real and lasting wear sets in. By contrast, it pinpoints the two most flexible dimensions, where you adapt with ease and where there is room for complementarity. For each high dimension, you get concrete examples of partner behaviours that satisfy that need day to day; for each low dimension, what tends to "overfill" you and how to ask for retreat without wounding. It closes with a personal recipe for connection: a one-line summary of your blueprint (e.g. "I need a lot of ritual and little novelty, with plenty of personal space") to use as a compass.

The Blueprint is an Agapone proprietary framework, not externally validated. Its six dimensions draw on robust empirical literature (attachment, EFT, Perel's work), but their specific combination is original and has no published population norms. Use the result as a conversation prompt, a lead to explore and not a verdict on who you are or whom you should be with. Relational needs shift over time, with history, age and context; revisit them periodically.

The Humour Styles Questionnaire (HSQ) was developed by Rod A. Martin and colleagues and published in the Journal of Research in Personality in 2003. Built from clinical observation and refined through successive factor analyses, the instrument starts from a simple intuition: what matters most is how a person uses humour. The HSQ crosses two axes (the target of humour, directed at oneself vs. others, and its psychological function, adaptive vs. maladaptive), yielding four distinct styles. Compared with classic "sense of humour" scales, which blended appreciation, production and well-being into one factor, the HSQ separates what protects a relationship from what erodes it.

You receive your scores across the four HSQ scales (Affiliative, Self-enhancing, Aggressive and Self-defeating) and your dominant style, that is, the one or two scales where you stand out. A four-dimension chart places you on the two axes of the theory: target (self vs. others) and function (adaptive vs. maladaptive). On top of that, you get an applied reading of how your humour tends to show up in three contexts: with close friends, with work colleagues and with strangers. We map the social strengths associated with your dominant style (for instance, affiliative humour correlates with relational satisfaction and popularity) and, if you score high on maladaptive styles, you receive warning signs about the relational costs and proposals to soften them. We close with small practices that can tilt your repertoire toward healthier registers.

The psychometric validity is good: alphas of ~0.70-0.85 across the four subscales and a factor structure replicated in more than thirty languages. The HSQ is, however, a self-report instrument: people high in aggressive humour tend to underestimate it, reading it as "irony" or "directness". Hall (2017, "Humour in romantic relationships: A meta-analysis") confirms that similarity in adaptive styles predicts high relational satisfaction. Maladaptive styles predict relational stress but do not, on their own, doom a couple: they work as a signal to be read.