To navigate contradictory data points, first validate the authenticity and trustworthiness of the data sources. Identify trends or inconsistencies by cross-referencing with other databases. Use statistical tools to determine the importance of the changes. Engage subject matter experts for insights and contextual understanding. Prioritise data items depending on their importance and believability in the analysis. Document your assumptions and limits in a straightforward manner. By using a methodical approach and keeping an open discourse, you may effectively traverse ambiguity and reach meaningful conclusions.

Conflicting data points in survey analysis can feel like a maze with no clear exit. Here’s how I tackle this challenge: 1) Check the Source: Re-examine data collection methods—differences in sample size, demographics, or timing might explain discrepancies. 2) Context Matters: External factors like market trends or economic shifts can impact survey responses. 3) Look for Patterns: Identify trends or outliers; conflicting data may highlight key audience differences, like cost vs. quality preferences. 4) Triangulate with Other Data: Integrate qualitative feedback, sales data, or social media insights to validate findings. 5) Embrace the Gray Area: Contradictions highlight diverse audience needs, turning uncertainty into opportunity.

Cuando el análisis de encuestas presenta dualidad en la información lo más recomendable es profundizar en la información monitoreando las respuesta a través de llamadas a profundidad. Mediante esta técnica se busca agradecer al cliente por la información suministrada y a su vez por entender el contexto de la información recibida, generando proximidad con el interlocutor y su reconocimiento

Assuming you are confident in the accuracy of the data, try 1) brainstorming alternative / contradicting ways of interpreting the respective questions and 2) segmenting the respondents to understand if there are sub-groups who have very diverging views on the respective questions.