How should democratic representation be measured in an era of increasingly individualized and volatile political identities, and fragile collective attachments? Traditionally, research on representation has sought a single best dimension measure of voter-party congruence and representative fit; yet, in postmodern societies marked by fluid and fragmented identities, this approach, we argue, oversimplifies voter choice and misrepresents the quality of democratic representation. To address these limitations, we draw on social theory diagnoses that illuminate how contemporary processes of individualization, alienation, and fragmentation shape political identity formation and democratic representation. We develop a novel framework of multi-point congruence to assess voter-party alignment across the full voter-party matrix along three dimensions: aggregate issue agreement, party-defined salience, and voter-defined salience. Using a unique voting advice application dataset from Slovakiaâs early elections in 2023 ( N = 134,699), an illustrative case for postmodern electoral dynamics, we show that personalized representation, centered on voter-defined priorities, maximizes policy alignment but fosters fragmentation, as voters often find multiple parties equally proximate. By contrast, party-centered representation sharpens partisan distinctiveness but increases ideological distance from voters. These competing logics of representation expose a core democratic trade-off: tailoring representation to individual preferences enhances policy fit but erodes partisan clarity, potentially leading to higher voter volatility and weakening voter-party linkages at the system level. Overall, our framework offers a more nuanced and generalizable assessment of voter-party alignment and representative quality in fragmented party systems of the contemporary, capturing not just how alignment occurs, but the democratic tensions it entails.